Question

我在Intel Atom上构建Tensorflow。淡褐色为0.15。要构建的控制台命令是

bazel build --config=mkl --cxxopt=-D_GLIBCXX_USE_CXX11_ABI=0 --copt=-march=atom --copt=-mtune=atom //tensorflow/tools/pip_package:build_pip_package

我有

Python 3.5.2 (default, Nov 12 2018, 13:43:14) 
[GCC 5.4.0 20160609] on linux

两个错误是

ERROR: /home/upsquared/tensorflow/tensorflow/BUILD:533:1: Executing genrule //tensorflow:tf_python_api_gen_v1 failed (Exit 1)
Traceback (most recent call last):
ImportError: /home/upsquared/.cache/bazel/_bazel_upsquared/64ad7d1d27724ec626c14ec5fee17883/execroot/org_tensorflow/bazel-out/host/bin/tensorflow/create_tensorflow.python_api_1.runfiles/org_tensorflow/tensorflow/python/_pywrap_tensorflow_internal.so: undefined symbol: PyClass_Type

整个错误消息为

At global scope:
cc1plus: warning: unrecognized command line option '-Wno-self-assign'
ERROR: /home/upsquared/tensorflow/tensorflow/BUILD:533:1: Executing genrule //tensorflow:tf_python_api_gen_v1 failed (Exit 1)
Traceback (most recent call last):
  File "/home/upsquared/.cache/bazel/_bazel_upsquared/64ad7d1d27724ec626c14ec5fee17883/execroot/org_tensorflow/bazel-out/host/bin/tensorflow/create_tensorflow.python_api_1.runfiles/org_tensorflow/tensorflow/python/pywrap_tensorflow.py", line 58, in <module>
    from tensorflow.python.pywrap_tensorflow_internal import *
  File "/home/upsquared/.cache/bazel/_bazel_upsquared/64ad7d1d27724ec626c14ec5fee17883/execroot/org_tensorflow/bazel-out/host/bin/tensorflow/create_tensorflow.python_api_1.runfiles/org_tensorflow/tensorflow/python/pywrap_tensorflow_internal.py", line 28, in <module>
    _pywrap_tensorflow_internal = swig_import_helper()
  File "/home/upsquared/.cache/bazel/_bazel_upsquared/64ad7d1d27724ec626c14ec5fee17883/execroot/org_tensorflow/bazel-out/host/bin/tensorflow/create_tensorflow.python_api_1.runfiles/org_tensorflow/tensorflow/python/pywrap_tensorflow_internal.py", line 24, in swig_import_helper
    _mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description)
  File "/home/upsquared/venv/lib/python3.5/imp.py", line 242, in load_module
    return load_dynamic(name, filename, file)
  File "/home/upsquared/venv/lib/python3.5/imp.py", line 342, in load_dynamic
    return _load(spec)
ImportError: /home/upsquared/.cache/bazel/_bazel_upsquared/64ad7d1d27724ec626c14ec5fee17883/execroot/org_tensorflow/bazel-out/host/bin/tensorflow/create_tensorflow.python_api_1.runfiles/org_tensorflow/tensorflow/python/_pywrap_tensorflow_internal.so: undefined symbol: PyClass_Type

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/home/upsquared/.cache/bazel/_bazel_upsquared/64ad7d1d27724ec626c14ec5fee17883/execroot/org_tensorflow/bazel-out/host/bin/tensorflow/create_tensorflow.python_api_1.runfiles/org_tensorflow/tensorflow/python/tools/api/generator/create_python_api.py", line 27, in <module>
    from tensorflow.python.tools.api.generator import doc_srcs
  File "/home/upsquared/.cache/bazel/_bazel_upsquared/64ad7d1d27724ec626c14ec5fee17883/execroot/org_tensorflow/bazel-out/host/bin/tensorflow/create_tensorflow.python_api_1.runfiles/org_tensorflow/tensorflow/python/__init__.py", line 49, in <module>
    from tensorflow.python import pywrap_tensorflow
  File "/home/upsquared/.cache/bazel/_bazel_upsquared/64ad7d1d27724ec626c14ec5fee17883/execroot/org_tensorflow/bazel-out/host/bin/tensorflow/create_tensorflow.python_api_1.runfiles/org_tensorflow/tensorflow/python/pywrap_tensorflow.py", line 74, in <module>
    raise ImportError(msg)
ImportError: Traceback (most recent call last):
  File "/home/upsquared/.cache/bazel/_bazel_upsquared/64ad7d1d27724ec626c14ec5fee17883/execroot/org_tensorflow/bazel-out/host/bin/tensorflow/create_tensorflow.python_api_1.runfiles/org_tensorflow/tensorflow/python/pywrap_tensorflow.py", line 58, in <module>
    from tensorflow.python.pywrap_tensorflow_internal import *
  File "/home/upsquared/.cache/bazel/_bazel_upsquared/64ad7d1d27724ec626c14ec5fee17883/execroot/org_tensorflow/bazel-out/host/bin/tensorflow/create_tensorflow.python_api_1.runfiles/org_tensorflow/tensorflow/python/pywrap_tensorflow_internal.py", line 28, in <module>
    _pywrap_tensorflow_internal = swig_import_helper()
  File "/home/upsquared/.cache/bazel/_bazel_upsquared/64ad7d1d27724ec626c14ec5fee17883/execroot/org_tensorflow/bazel-out/host/bin/tensorflow/create_tensorflow.python_api_1.runfiles/org_tensorflow/tensorflow/python/pywrap_tensorflow_internal.py", line 24, in swig_import_helper
    _mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description)
  File "/home/upsquared/venv/lib/python3.5/imp.py", line 242, in load_module
    return load_dynamic(name, filename, file)
  File "/home/upsquared/venv/lib/python3.5/imp.py", line 342, in load_dynamic
    return _load(spec)
ImportError: /home/upsquared/.cache/bazel/_bazel_upsquared/64ad7d1d27724ec626c14ec5fee17883/execroot/org_tensorflow/bazel-out/host/bin/tensorflow/create_tensorflow.python_api_1.runfiles/org_tensorflow/tensorflow/python/_pywrap_tensorflow_internal.so: undefined symbol: PyClass_Type


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.
Target //tensorflow/tools/pip_package:build_pip_package failed to build
Use --verbose_failures to see the command lines of failed build steps.
INFO: Elapsed time: 7602.740s, Critical Path: 240.17s
INFO: 5845 processes: 5845 local.
FAILED: Build did NOT complete successfully

Answer 1

安装说明：

确保numpy，keras应用程序，keras预处理，pip，六个，轮，模拟包安装在Python环境中，其中 TensorFlow正在构建和安装。

克隆TensorFlow源代码并检出1.12分支

git clone https://github.com/tensorflow/tensorflow
git checkout r1.12

在TensorFlow源目录中运行“ ./configure”
执行以下命令来创建一个pip软件包，该软件包可用于安装优化的TensorFlow构建。

可以将PATH更改为指向特定版本的GCC编译器：
```
  export PATH=/PATH//bin:$PATH
```
LD_LIBRARY_PATH也可以是新的：
```
  export LD_LIBRARY_PATH=/PATH//lib64:$LD_LIBRARY_PATH
```
设置计算机上GCC支持的编译器标志，以使用Intel®Math Kernel Library（Intel®MKL）构建TensorFlow。确保设置了适当的“ march”和“ mtune”标志。
```
  bazel build --config=mkl --cxxopt=-D_GLIBCXX_USE_CXX11_ABI=0 --copt=-march=sandybridge --copt=-mtune=ivybridge --copt=-O3 //tensorflow/tools/pip_package:build_pip_package
```
（或）

或者，使用以下方法设置要编译库的适当“指令集”标志：

在以下命令中设置的标记将添加AVX，AVX2和AVX512指令，当您使用旧版CPU时，这将导致“非法指令”错误。如果要在较旧的CPU上构建，请相应地设置指令标志

       bazel build --config=mkl -c opt --copt=-mavx --copt=-mavx2 --copt=-mfma --copt=-mavx512f --copt=-mavx512pf --copt=-mavx512cd --copt=-mavx512er //tensorflow/tools/pip_package:build_pip_package

安装优化的TensorFlow滚轮

bazel-bin/tensorflow/tools/pip_package/build_pip_package ~/path_to_save_wheel

pip install --upgrade --user ~/path_to_save_wheel/<wheel_name.whl>

作为参考，请通过以下链接：https://software.intel.com/en-us/articles/intel-optimization-for-tensorflow-installation-guide

在Intel Atom上构建Tensorflow时出错

1 个答案: