Tensorflow skylake-avx512 512编译自缺少的源__cpu_model符号

Question

我正在用skylake- am 512编译tensorflow，如下所示，我的python是这样构建的：

git clone https://github.com/python/cpython.git && cd cpython && git checkout 2.7
CXX="/usr/bin/g++" CXXFLAGS="-O3 -mtune=skylake-avx512 -march=skylake-avx512" CFLAGS="-O3 -mtune=skylake-avx512 -march=skylake-avx512" ./configure  \
            --enable-optimizations  \
            --with-lto \
            --enable-unicode=ucs4  \
            --with-threads \
            --with-libs="-lbz2 -lreadline -lncurses -lhistory -lsqlite3 -lssl" \
            --enable-shared \
            --with-system-expat \
            --with-system-ffi   \
            --with-ensurepip=yes \
            --enable-unicode=ucs4 \
            --disable-ipv6
RUN cd /opt/cpython && make -j16
RUN cd /opt/cpython && make install

Tensorflow构建命令：

bazel build   --copt=-O3  --copt=-mtune=skylake-avx512 --copt=-march=skylake-avx512        //tensorflow/tools/pip_package:build_pip_package
./bazel-bin/tensorflow/tools/pip_package/build_pip_package /mnt

只有选项集XLA，其他所有设置为“否”。我使用的tensorflow v1.12.0-devel的对接图像，我是复制标签v1.12.3。

为完整起见：

WARNING: --batch mode is deprecated. Please instead explicitly shut down your Bazel server using the command "bazel shutdown".
You have bazel 0.15.0 installed.
Please specify the location of python. [Default is /usr/local/bin/python]: 


Found possible Python library paths:
  /usr/local/lib/python2.7/site-packages
Please input the desired Python library path to use.  Default is [/usr/local/lib/python2.7/site-packages]

Do you wish to build TensorFlow with Apache Ignite support? [Y/n]: n
No Apache Ignite support will be enabled for TensorFlow.

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]: n
No CUDA support will be enabled for TensorFlow.

Do you wish to download a fresh release of clang? (Experimental) [y/N]: n
Clang will not be downloaded.

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]: -O3 -mtune=skylake-avx512 -march=skylake-avx512


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 tools/bazel.rc 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.
Configuration finished

我在对付gcc-9，g+-9，和ubuntu 16.04.在此之前，我已经修过几个羊肉，但我不知道我在这里错过了什么。有人能帮我解决这个丢失的符号吗？

Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/usr/local/lib/python2.7/site-packages/tensorflow/__init__.py", line 24, in <module>
    from tensorflow.python import pywrap_tensorflow  # pylint: disable=unused-import
  File "/usr/local/lib/python2.7/site-packages/tensorflow/python/__init__.py", line 49, in <module>
    from tensorflow.python import pywrap_tensorflow
  File "/usr/local/lib/python2.7/site-packages/tensorflow/python/pywrap_tensorflow.py", line 74, in <module>
    raise ImportError(msg)
ImportError: Traceback (most recent call last):
  File "/usr/local/lib/python2.7/site-packages/tensorflow/python/pywrap_tensorflow.py", line 58, in <module>
    from tensorflow.python.pywrap_tensorflow_internal import *
  File "/usr/local/lib/python2.7/site-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 28, in <module>
    _pywrap_tensorflow_internal = swig_import_helper()
  File "/usr/local/lib/python2.7/site-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 24, in swig_import_helper
    _mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description)
ImportError: /usr/local/lib/python2.7/site-packages/tensorflow/python/../libtensorflow_framework.so: undefined symbol: __cpu_model


Failed to load the native TensorFlow runtime.

See https://www.tensorflow.org/install/errors

for some common reasons and solutions.  Include the entire stack trace
above this error message when asking for help.```

Answer 1

我解决了问题。

之所以会发生这种情况，是因为我正在一个容器中构建tensorflow，获取车轮文件并在另一个容器中安装tensorflow。

除非tensorflow的所有相关库都以相同的方式构建，即包含正确的符号和符号/库的版本，否则在容器tensorflow中都会生成tensorflow，并且会出现类似这些问题的容器。我和其他图书馆一起在我的另一个容器里建造了蟒蛇、矮胖和熊猫。在我从源代码构建了这些库之后，当然是使用相同的标记版本，在系统上安装了相同的编译器标志和包之后，在tensorflow容器中，我的所有问题都消失了，tensorflow也能正常工作。

好奇的thing...tensorflow过去需要花费80+分钟来构建，在编译python和其他一些东西之后，现在大约需要35分钟才能构建。很贴心。