tensorflow: C++ compilation of rule '//tensorflow/python:bfloat16_lib' failed

System information

  • OS Platform and Distribution: Linux Ubuntu 18.04 – building inside Dockerfile with FROM nvidia/cuda:10.1-cudnn7-devel-ubuntu18.04
  • TensorFlow installed from: source
  • TensorFlow version: 2.2.0
  • Python version: 3.6.9
  • Installed using virtualenv? pip? conda?: No
  • Bazel version: 2.0.0 (extracted from _TF_MAX_BAZEL)
  • GCC/Compiler version: 7.4.0
  • CUDA/cuDNN version: 10.1 / 7
  • GPU model and memory: tested on Titan XP and RTX 2070 8GB

Describe the problem

Build fails with

ESC[0mESC[91mtensorflow/python/lib/core/bfloat16.cc: In function 'bool tensorflow::{anonymous}::Initialize()':
tensorflow/python/lib/core/bfloat16.cc:636:36: error: no match for call to '(tensorflow::{anonymous}::Initialize()::<lambda(const char*, PyUFuncGenericFunction, const std::array<int, 3>&)>) (const c
har [6], <unresolved overloaded function type>, const std::array<int, 3>&)'
                       compare_types)) {
                                    ^
tensorflow/python/lib/core/bfloat16.cc:610:60: note: candidate: tensorflow::{anonymous}::Initialize()::<lambda(const char*, PyUFuncGenericFunction, const std::array<int, 3>&)>
                             const std::array<int, 3>& types) {
                                                            ^
tensorflow/python/lib/core/bfloat16.cc:610:60: note:   no known conversion for argument 2 from '<unresolved overloaded function type>' to 'PyUFuncGenericFunction {aka void (*)(char**, const long int
*, const long int*, void*)}'
tensorflow/python/lib/core/bfloat16.cc:640:36: error: no match for call to '(tensorflow::{anonymous}::Initialize()::<lambda(const char*, PyUFuncGenericFunction, const std::array<int, 3>&)>) (const c
har [10], <unresolved overloaded function type>, const std::array<int, 3>&)'
                       compare_types)) {
                                    ^
tensorflow/python/lib/core/bfloat16.cc:610:60: note: candidate: tensorflow::{anonymous}::Initialize()::<lambda(const char*, PyUFuncGenericFunction, const std::array<int, 3>&)>
                             const std::array<int, 3>& types) {
                                                            ^
tensorflow/python/lib/core/bfloat16.cc:610:60: note:   no known conversion for argument 2 from '<unresolved overloaded function type>' to 'PyUFuncGenericFunction {aka void (*)(char**, const long int
*, const long int*, void*)}'
tensorflow/python/lib/core/bfloat16.cc:643:77: error: no match for call to '(tensorflow::{anonymous}::Initialize()::<lambda(const char*, PyUFuncGenericFunction, const std::array<int, 3>&)>) (const c
har [5], <unresolved overloaded function type>, const std::array<int, 3>&)'
   if (!register_ufunc("less", CompareUFunc<Bfloat16LtFunctor>, compare_types)) {

                                                                            ^
tensorflow/python/lib/core/bfloat16.cc:610:60: note: candidate: tensorflow::{anonymous}::Initialize()::<lambda(const char*, PyUFuncGenericFunction, const std::array<int, 3>&)>
                             const std::array<int, 3>& types) {
                                                            ^
tensorflow/python/lib/core/bfloat16.cc:610:60: note:   no known conversion for argument 2 from '<unresolved overloaded function type>' to 'PyUFuncGenericFunction {aka void (*)(char**, const long int*, const long int*, void*)}'
tensorflow/python/lib/core/bfloat16.cc:647:36: error: no match for call to '(tensorflow::{anonymous}::Initialize()::<lambda(const char*, PyUFuncGenericFunction, const std::array<int, 3>&)>) (const char [8], <unresolved overloaded function type>, const std::array<int, 3>&)'
                       compare_types)) {
                                    ^
tensorflow/python/lib/core/bfloat16.cc:610:60: note: candidate: tensorflow::{anonymous}::Initialize()::<lambda(const char*, PyUFuncGenericFunction, const std::array<int, 3>&)>
                             const std::array<int, 3>& types) {
                                                            ^
tensorflow/python/lib/core/bfloat16.cc:610:60: note:   no known conversion for argument 2 from '<unresolved overloaded function type>' to 'PyUFuncGenericFunction {aka void (*)(char**, const long int*, const long int*, void*)}'
tensorflow/python/lib/core/bfloat16.cc:651:36: error: no match for call to '(tensorflow::{anonymous}::Initialize()::<lambda(const char*, PyUFuncGenericFunction, const std::array<int, 3>&)>) (const char [11], <unresolved overloaded function type>, const std::array<int, 3>&)'
                       compare_types)) {
                                    ^
tensorflow/python/lib/core/bfloat16.cc:610:60: note: candidate: tensorflow::{anonymous}::Initialize()::<lambda(const char*, PyUFuncGenericFunction, const std::array<int, 3>&)>
                             const std::array<int, 3>& types) {
                                                            ^
tensorflow/python/lib/core/bfloat16.cc:610:60: note:   no known conversion for argument 2 from '<unresolved overloaded function type>' to 'PyUFuncGenericFunction {aka void (*)(char**, const long int*, const long int*, void*)}'
tensorflow/python/lib/core/bfloat16.cc:655:36: error: no match for call to '(tensorflow::{anonymous}::Initialize()::<lambda(const char*, PyUFuncGenericFunction, const std::array<int, 3>&)>) (const char [14], <unresolved overloaded function type>, const std::array<int, 3>&)'
                       compare_types)) {
                                    ^
tensorflow/python/lib/core/bfloat16.cc:610:60: note: candidate: tensorflow::{anonymous}::Initialize()::<lambda(const char*, PyUFuncGenericFunction, const std::array<int, 3>&)>
                             const std::array<int, 3>& types) {
                                                            ^
tensorflow/python/lib/core/bfloat16.cc:610:60: note:   no known conversion for argument 2 from '<unresolved overloaded function type>' to 'PyUFuncGenericFunction {aka void (*)(char**, const long int*, const long int*, void*)}'
ESC[0mESC[91mTarget //tensorflow/tools/pip_package:build_pip_package failed to build
ESC[0mESC[91mERROR: /usr/local/src/tensorflow/tensorflow/tools/pip_package/BUILD:62:1 C++ compilation of rule '//tensorflow/python:bfloat16_lib' failed (Exit 1)
ESC[0mESC[91mINFO: Elapsed time: 1828.057s, Critical Path: 881.14s
INFO: 13824 processes: 13824 local.
ESC[0mESC[91mFAILED: Build did NOT complete successfully
ESC[0mESC[91mFAILED: Build did NOT complete successfully
ESC[0mESC[91mCommand exited with non-zero status 1

Provide the exact sequence of commands / steps that you executed before running into the problem

Reproducible with the following Dockerfile

FROM nvidia/cuda:10.1-cudnn7-devel-ubuntu18.04

# Install system packages
ENV DEBIAN_FRONTEND noninteractive
RUN apt-get update -y \
  && apt-get install -y --no-install-recommends apt-utils \
  && apt-get install -y \
    build-essential \
    checkinstall \
    cmake \
    curl \
    g++ \
    gcc \
    git \
    locales \
    perl \
    pkg-config \
    protobuf-compiler \
    python3-dev \
    rsync \
    software-properties-common \
    unzip \
    wget \
    zip \
    zlib1g-dev \
  && apt-get clean

# UTF-8
RUN localedef -i en_US -c -f UTF-8 -A /usr/share/locale/locale.alias en_US.UTF-8
ENV LANG en_US.utf8

# Setup pip
RUN wget -q -O /tmp/get-pip.py --no-check-certificate https://bootstrap.pypa.io/get-pip.py \
  && python3 /tmp/get-pip.py \
  && pip3 install -U pip \
  && rm /tmp/get-pip.py
# Some TF tools expect a "python" binary
RUN ln -s $(which python3) /usr/local/bin/python

# /etc/ld.so.conf.d/nvidia.conf point to /usr/local/nvidia which seems to be missing, point to the cuda directory install for libraries
RUN cd /usr/local && ln -s cuda nvidia
ARG CTO_CUDA_VERSION="10.1"
ARG CTO_CUDA_PRIMEVERSION="10.0"
ARG CTO_CUDA_APT="cuda-npp-${CTO_CUDA_VERSION} cuda-cublas-${CTO_CUDA_PRIMEVERSION} cuda-cufft-${CTO_CUDA_VERSION} cuda-libraries-${CTO_CUDA_VERSION} cuda-npp-dev-${CTO_CUDA_VERSION} cuda-cublas-dev-${CTO_CUDA_PRIMEVERSION} cuda-cufft-dev-${CTO_CUDA_VERSION} cuda-libraries-dev-${CTO_CUDA_VERSION}"
RUN apt-get install -y --no-install-recommends \
  time ${CTO_CUDA_APT} \
  && apt-get clean

ENV LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/usr/local/cuda/extras/CUPTI/lib64"

# Install Python tools 
RUN pip3 install -U \
  mock \
  numpy \
  setuptools \
  six \
  wheel \
  && pip3 install 'future>=0.17.1' \
  && pip3 install -U keras_applications --no-deps \
  && pip3 install -U keras_preprocessing --no-deps \
  && rm -rf /root/.cache/pip

## Download & Building TensorFlow from source
ARG LATEST_BAZELISK=1.5.0
ARG CTO_TENSORFLOW_VERSION="2.2.0"
RUN curl -s -Lo /usr/local/bin/bazel https://github.com/bazelbuild/bazelisk/releases/download/v${LATEST_BAZELISK}/bazelisk-linux-amd64 \
  && chmod +x /usr/local/bin/bazel \
  && mkdir -p /usr/local/src \
  && cd /usr/local/src \
  && wget -q --no-check-certificate https://github.com/tensorflow/tensorflow/archive/v${CTO_TENSORFLOW_VERSION}.tar.gz \
  && tar xfz v${CTO_TENSORFLOW_VERSION}.tar.gz \
  && mv tensorflow-${CTO_TENSORFLOW_VERSION} tensorflow \
  && rm v${CTO_TENSORFLOW_VERSION}.tar.gz \
  && cd /usr/local/src/tensorflow \
  && fgrep _TF_MAX_BAZEL configure.py | grep '=' | perl -ne 'print $1 if (m%\=\s+.([\d\.]+).$+%)' > .bazelversion
RUN cd /usr/local/src/tensorflow \
  && TF_CUDA_CLANG=0 TF_CUDA_VERSION=${CTO_CUDA_VERSION} TF_CUDNN_VERSION=7 TF_DOWNLOAD_CLANG=0 TF_DOWNLOAD_MKL=0 TF_ENABLE_XLA=0 TF_NEED_AWS=0 TF_NEED_COMPUTECPP=0 TF_NEED_CUDA=1 TF_NEED_GCP=0 TF_NEED_GDR=0 TF_NEED_HDFS=0 TF_NEED_JEMALLOC=1 TF_NEED_KAFKA=0 TF_NEED_MKL=0 TF_NEED_MPI=0 TF_NEED_OPENCL=0 TF_NEED_OPENCL_SYCL=0 TF_NEED_ROCM=0 TF_NEED_S3=0 TF_NEED_TENSORRT=0 TF_NEED_VERBS=0 TF_SET_ANDROID_WORKSPACE=0 TF_CUDA_COMPUTE_CAPABILITIES="5.3,6.0,6.1,6.2,7.0,7.2,7.5" GCC_HOST_COMPILER_PATH=$(which gcc) CC_OPT_FLAGS="-march=native" PYTHON_BIN_PATH=$(which python) PYTHON_LIB_PATH="$(python -c 'import site; print(site.getsitepackages()[0])')" ./configure
RUN cd /usr/local/src/tensorflow \
  && time bazel build --verbose_failures --config=opt --config=v2 --config=cuda //tensorflow/tools/pip_package:build_pip_package \
  && time ./bazel-bin/tensorflow/tools/pip_package/build_pip_package /tmp/tensorflow_pkg \
  && time pip3 install /tmp/tensorflow_pkg/tensorflow-*.whl

CMD bash

Built using docker build --tag cto:test .

Note tested with CUDA 10.1, 10.0 and 10.2. Also occurs with TF 1.15.3

Any other info / logs I can provide the full build log if requested (91MB)

 ---> Running in 9690386205a5
2020/06/22 14:11:17 Downloading https://releases.bazel.build/2.0.0/release/bazel-2.0.0-linux-x86_64...
Extracting Bazel installation...
You have bazel 2.0.0 installed.
Found CUDA 10.1 in:
    /usr/local/cuda-10.1/lib64
    /usr/local/cuda-10.1/include
Found cuDNN 7 in:
    /usr/lib/x86_64-linux-gnu
    /usr/include


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=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=nonccl         # Disable NVIDIA NCCL support.
Configuration finished
Removing intermediate container 9690386205a5
 ---> 8910acc4d9c5
Step 19/20 : RUN cd /usr/local/src/tensorflow   && time bazel build --verbose_failures --config=opt --config=v2 --config=cuda //tensorflow/tools/pip_package:build_pip_package   && time ./bazel-bin/tensorflow/tools/pip_package/build_pip_package /tmp/tensorflow_pkg   && time pip3 install /tmp/tensorflow_pkg/tensorflow-*.whl
 ---> Running in 3b0267b1209d
ESC[91mStarting local Bazel server and connecting to it...
ESC[0mESC[91mWARNING: The following configs were expanded more than once: [v2, cuda, using_cuda]. For repeatable flags, repeats are counted twice and may lead to unexpected behavior.
ESC[0mESC[91mINFO: Options provided by the client:
  Inherited 'common' options: --isatty=0 --terminal_columns=80
ESC[0mESC[91mINFO: Reading rc options for 'build' from /usr/local/src/tensorflow/.bazelrc:
  Inherited 'common' options: --experimental_repo_remote_exec
INFO: Reading rc options for 'build' from /usr/local/src/tensorflow/.bazelrc:
  'build' options: --apple_platform_type=macos --define framework_shared_object=true --define open_source_build=true --java_toolchain=//third_party/toolchains/java:tf_java_toolchain --host_java_toolchain=//third_party/toolchains/java:tf_java_toolchain --define=use_fast_cpp_protos=true --define=allow_oversize_protos=true --spawn_strategy=standalone -c opt --announce_rc --define=grpc_no_ares=true --noincompatible_remove_legacy_whole_archive --noincompatible_prohibit_aapt1 --enable_platform_specific_config --config=v2
INFO: Reading rc options for 'build' from /usr/local/src/tensorflow/.tf_configure.bazelrc:
  'build' options: --action_env PYTHON_BIN_PATH=/usr/local/bin/python --action_env PYTHON_LIB_PATH=/usr/local/lib/python3.6/dist-packages --python_path=/usr/local/bin/python --action_env TF_CUDA_VERSION=10.1 --action_env TF_CUDNN_VERSION=7 --action_env CUDA_TOOLKIT_PATH=/usr/local/cuda-10.1 --action_env TF_CUDA_COMPUTE_CAPABILITIES=5.3,6.0,6.1,6.2,7.0,7.2,7.5 --action_env LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/cuda/extras/CUPTI/lib64 --action_env GCC_HOST_COMPILER_PATH=/usr/bin/x86_64-linux-gnu-gcc-7 --config=cuda --action_env TF_CONFIGURE_IOS=0
INFO: Found applicable config definition build:v2 in file /usr/local/src/tensorflow/.bazelrc: --define=tf_api_version=2 --action_env=TF2_BEHAVIOR=1
ESC[0mESC[91mINFO: Found applicable config definition build:cuda in file /usr/local/src/tensorflow/.bazelrc: --config=using_cuda --define=using_cuda_nvcc=true
INFO: Found applicable config definition build:using_cuda in file /usr/local/src/tensorflow/.bazelrc: --define=using_cuda=true --action_env TF_NEED_CUDA=1 --crosstool_top=@local_config_cuda//crosstool:toolchain
INFO: Found applicable config definition build:opt in file /usr/local/src/tensorflow/.tf_configure.bazelrc: --copt=-march=native --host_copt=-march=native --define with_default_optimizations=true
INFO: Found applicable config definition build:v2 in file /usr/local/src/tensorflow/.bazelrc: --define=tf_api_version=2 --action_env=TF2_BEHAVIOR=1
INFO: Found applicable config definition build:cuda in file /usr/local/src/tensorflow/.bazelrc: --config=using_cuda --define=using_cuda_nvcc=true
INFO: Found applicable config definition build:using_cuda in file /usr/local/src/tensorflow/.bazelrc: --define=using_cuda=true --action_env TF_NEED_CUDA=1 --crosstool_top=@local_config_cuda//crosstool:toolchain
INFO: Found applicable config definition build:linux in file /usr/local/src/tensorflow/.bazelrc: --copt=-w --define=PREFIX=/usr --define=LIBDIR=$(PREFIX)/lib --define=INCLUDEDIR=$(PREFIX)/include --cxxopt=-std=c++14 --host_cxxopt=-std=c++14 --config=dynamic_kernels
INFO: Found applicable config definition build:dynamic_kernels in file /usr/local/src/tensorflow/.bazelrc: --define=dynamic_loaded_kernels=true --copt=-DAUTOLOAD_DYNAMIC_KERNELS
ESC[0mESC[91mLoading: 
ESC[0mESC[91mLoading: 0 packages loaded
ESC[0mESC[91mLoading: 0 packages loaded
ESC[0mESC[91mLoading: 0 packages loaded
ESC[0mESC[91mDEBUG: Rule 'io_bazel_rules_docker' indicated that a canonical reproducible form can be obtained by modifying arguments shallow_since = "1556410077 -0400"
ESC[0mESC[91mDEBUG: Call stack for the definition of repository 'io_bazel_rules_docker' which is a git_repository (rule definition at /root/.cache/bazel/_bazel_root/bbcc73fcc5c2b01ab08b6bcf7c29e42e/external/bazel_tools/tools/build_defs/repo/git.bzl:195:18):
 - /root/.cache/bazel/_bazel_root/bbcc73fcc5c2b01ab08b6bcf7c29e42e/external/bazel_toolchains/repositories/repositories.bzl:37:9
 - /usr/local/src/tensorflow/WORKSPACE:37:1
ESC[0mESC[91mLoading: 0 packages loaded
ESC[0mESC[91mLoading: 0 packages loaded
ESC[0mESC[91mLoading: 0 packages loaded
ESC[0mESC[91mLoading: 0 packages loaded
    currently loading: tensorflow/tools/pip_package
ESC[0mESC[91mDEBUG: /root/.cache/bazel/_bazel_root/bbcc73fcc5c2b01ab08b6bcf7c29e42e/external/bazel_tools/tools/cpp/lib_cc_configure.bzl:118:5: 
[...]```


About this issue

  • Original URL
  • State: closed
  • Created 4 years ago
  • Comments: 23 (6 by maintainers)

Commits related to this issue

Most upvoted comments

In our testing, we found that this issue breaks building from source for TF 1.15.x and 2.x.

The issue comes from source build being incompatible with numpy 1.19.0 which has a breaking ABI change (numpy/numpy#15355) and was released 2 days ago.

Fixing numpy to pre 1.19.0 fixes the issue:

pip install numpy<1.19.0

Remember to run bazel clean after downgrading numpy. I downloaded numpy 1.18 and it worked.

Possibly duplicate of #40654? I’m also seeing the same issue with v2.2.0 and GCC 7.5.0.

Thank you 😃 I looked at the PR, and am integrating this change into the Dockerfile: && perl -pi.bak -e 's%, CompareUFunc%, (PyUFuncGenericFunction) CompareUFunc%g' tensorflow/python/lib/core/bfloat16.cc \ right before the ./configure step.

Will report if this fixes the build

Hi, @mmartial. I also run into the same issue. I’ve downgraded numpy to 1.18.5 but it did not fix the problem. Here’s the error message I received

tensorflow/python/lib/core/bfloat16.cc:610:60: note: candidate: tensorflow::{anonymous}::Initialize()::<lambda(const char*, PyUFuncGenericFunction, const std::array<int, 3>&)> const std::array<int, 3>& types) { ^ tensorflow/python/lib/core/bfloat16.cc:610:60: note: no known conversion for argument 2 from ‘<unresolved overloaded function type>’ to ‘PyUFuncGenericFunction {aka void ()(char**, const long int, const long int*, void*)}’ tensorflow/python/lib/core/bfloat16.cc:640:36: error: no match for call to ‘(tensorflow::{anonymous}::Initialize()::<lambda(const char*, PyUFuncGenericFunction, const std::array<int, 3>&)>) (const char [10], <unresolved overloaded function type>, const std::array<int, 3>&)’ compare_types)) { ^ tensorflow/python/lib/core/bfloat16.cc:610:60: note: candidate: tensorflow::{anonymous}::Initialize()::<lambda(const char*, PyUFuncGenericFunction, const std::array<int, 3>&)> const std::array<int, 3>& types) { ^ tensorflow/python/lib/core/bfloat16.cc:610:60: note: no known conversion for argument 2 from ‘<unresolved overloaded function type>’ to ‘PyUFuncGenericFunction {aka void ()(char**, const long int, const long int*, void*)}’ tensorflow/python/lib/core/bfloat16.cc:643:77: error: no match for call to ‘(tensorflow::{anonymous}::Initialize()::<lambda(const char*, PyUFuncGenericFunction, const std::array<int, 3>&)>) (const char [5], <unresolved overloaded function type>, const std::array<int, 3>&)’ if (!register_ufunc(“less”, CompareUFunc<Bfloat16LtFunctor>, compare_types)) { ^ tensorflow/python/lib/core/bfloat16.cc:610:60: note: candidate: tensorflow::{anonymous}::Initialize()::<lambda(const char*, PyUFuncGenericFunction, const std::array<int, 3>&)> const std::array<int, 3>& types) { ^ tensorflow/python/lib/core/bfloat16.cc:610:60: note: no known conversion for argument 2 from ‘<unresolved overloaded function type>’ to ‘PyUFuncGenericFunction {aka void ()(char**, const long int, const long int*, void*)}’ tensorflow/python/lib/core/bfloat16.cc:647:36: error: no match for call to ‘(tensorflow::{anonymous}::Initialize()::<lambda(const char*, PyUFuncGenericFunction, const std::array<int, 3>&)>) (const char [8], <unresolved overloaded function type>, const std::array<int, 3>&)’ compare_types)) { ^ tensorflow/python/lib/core/bfloat16.cc:610:60: note: candidate: tensorflow::{anonymous}::Initialize()::<lambda(const char*, PyUFuncGenericFunction, const std::array<int, 3>&)> const std::array<int, 3>& types) { ^ tensorflow/python/lib/core/bfloat16.cc:610:60: note: no known conversion for argument 2 from ‘<unresolved overloaded function type>’ to ‘PyUFuncGenericFunction {aka void ()(char**, const long int, const long int*, void*)}’ tensorflow/python/lib/core/bfloat16.cc:651:36: error: no match for call to ‘(tensorflow::{anonymous}::Initialize()::<lambda(const char*, PyUFuncGenericFunction, const std::array<int, 3>&)>) (const char [11], <unresolved overloaded function type>, const std::array<int, 3>&)’ compare_types)) { ^ tensorflow/python/lib/core/bfloat16.cc:610:60: note: candidate: tensorflow::{anonymous}::Initialize()::<lambda(const char*, PyUFuncGenericFunction, const std::array<int, 3>&)> const std::array<int, 3>& types) { ^ tensorflow/python/lib/core/bfloat16.cc:610:60: note: no known conversion for argument 2 from ‘<unresolved overloaded function type>’ to ‘PyUFuncGenericFunction {aka void ()(char**, const long int, const long int*, void*)}’ tensorflow/python/lib/core/bfloat16.cc:655:36: error: no match for call to ‘(tensorflow::{anonymous}::Initialize()::<lambda(const char*, PyUFuncGenericFunction, const std::array<int, 3>&)>) (const char [14], <unresolved overloaded function type>, const std::array<int, 3>&)’ compare_types)) { ^ tensorflow/python/lib/core/bfloat16.cc:610:60: note: candidate: tensorflow::{anonymous}::Initialize()::<lambda(const char*, PyUFuncGenericFunction, const std::array<int, 3>&)> const std::array<int, 3>& types) { ^ tensorflow/python/lib/core/bfloat16.cc:610:60: note: no known conversion for argument 2 from ‘<unresolved overloaded function type>’ to ‘PyUFuncGenericFunction {aka void ()(char**, const long int, const long int*, void*)}’ Target //tensorflow/tools/pip_package:build_pip_package failed to build Use --verbose_failures to see the command lines of failed build steps. ERROR: /home/aptx4869/github/tensorflow/tensorflow/tools/pip_package/BUILD:62:1 C++ compilation of rule ‘//tensorflow/python:bfloat16_lib’ failed (Exit 1) INFO: Elapsed time: 24.977s, Critical Path: 13.97s INFO: 2 processes: 2 local. FAILED: Build did NOT complete successfully

It seems related to PyUFuncGenericFunction which you mentioned to “fix”. How should I do it?

Here’s my environment information:

Ubuntu: 18.04 TF: r2.2 (trying to build from source but failed) CUDA: 10.2 CuDNN: 7.6.5 python: 3.7.7 Bazel: 2.0.0

And here’s the output of pip list in case you need:

certifi 2020.6.20 decorator 4.4.0 future 0.18.2 h5py 2.10.0 Keras-Applications 1.0.8 Keras-Preprocessing 1.1.2 mock 4.0.2 numpy 1.18.5 pip 20.1.1 setuptools 47.3.1.post20200622 six 1.15.0 wheel 0.34.2

@mmartial ,

On behalf #40654 thank you for investigation !