Tensorflow从源代码（Win7）安装：bazel，python->；没有名为'；编码'； 目标

在c/c++中使用Python训练（keras）模型。 有关c-变通方法，请参见“变通方法”一节

从源代码处编译Tensorflow（版本1.0或1.2.1） 按照

< P>（TysFooad已经通过Python 3中的PIP安装，但我需要从C++使用它，所以从源安装似乎是强制性的）

系统

• win7（64）
• bazel 0.5.2
• python（env）3.5.2（64）
• pip（环境）9.0.1
• msys64/msys2_shell.cmd（GNU bash，4.4.12（64个msys））
• gcc 6.3.0
• java SE“1.8.0_131”
• CUDA 8.0.60（未使用）

错误 （完整日志在下面的附加部分中）

在msys2 shell中，设置环境变量，激活python virt env，执行bazel clean，./configure

bazel build --verbose_failures --config=opt //tensorflow/tools/pip_package:build_pip_package

我得到这个错误：

  ERROR: D:/user/sourcen/external/tensorflow-master-201707051514/
            tensorflow-master-rev-1-2-1/tensorflow/core/BUILD:1415:1: 

  Executing genrule //tensorflow/core:version_info_gen failed: 

  bash.exe failed: error executing command

  cd C:/users/user/appdata/local/temp/_bazel_user/chogfwdz/execroot/org_tensorflow

  C:/tools/msys64/usr/bin/bash.exe 
                              -c source external/bazel_tools/tools/genrule/genrule-setup.sh; 
                                        tensorflow/tools/git/gen_git_source.py 
                              --generate tensorflow/tools/git/gen/spec.json 
                                         tensorflow/tools/git/gen/head 
                                         tensorflow/tools/git/gen/branch_ref 
                                            "bazel-out/host/genfiles/tensorflow/core/util/version_info.cc": 
                                              com.google.devtools.build.lib.shell.
  BadExitStatusException: Process exited with status 3.

  Fatal Python error: Py_Initialize: unable to load the file system codec
  ImportError: No module named 'encodings'

对不起，我完全迷路了，这条消息告诉我什么。 这里有一些上面提到的文件片段，也许有人有胶水，给了我启示

---

//tensorflow/核心/构建：1415:1 tf_版本_信息_genrule（）

---

bazel/../genrule-setup.sh

 set -e
 set -u
 set -o pipefail

---

//tensorflow/tools/git/gen\u git\u source.py

  """... creates symlinks from the internal git repository directory so
  that the build system can see changes in the version state. ..."""

  def parse_branch_ref(filename)...
  def configure(src_base_path, debug=False)...
  def get_git_version(git_base_path)...
  def write_version_info(filename, git_version)...
  def generate(arglist)...
  def raw_generate(output_file)...

---

我想，使用了错误的python版本（不是我激活的virtualenv）——安装了其他几个python版本（2.7-32、2.7-64、3.5-32、3.5-64）（否则需要）

问题 如果bazel使用的是正确的python（virtualenv），我可以做什么来检查

如果bazel使用的是错误的，我该如何更改

如果bazel使用的是正确的版本，我如何才能获得更多关于出错原因的详细信息（并修复它）

元问题 需要什么进一步的信息（环境变量）

我能做些什么来改进问题，使人们能够给出建议？ （请给出评论，缺少什么、错误、不清楚、太多）

下一步 我搜索了“致命Python错误：Py_初始化：无法加载文件系统编解码器” ImportError:没有名为“encodings”的模块

• 尝试使用本地管理员帐户->被公司防火墙阻止，执行以下步骤

• 尝试设置PYTHONPATH和PYTHONHOME，没有效果
  导出PYTHONHOME=/D/bin/Python64-3-Anaconda/envs/Python64-35
  导出PYTHONPATH=/D/bin/Python64-3-Anaconda/envs/Python64-35： /D/bin/Python64-3-Anaconda/envs/Python64-35/lib/site包： /d/bin/Python64-3-Anaconda/envs/Python64-35/libs

• 尝试设置另一个virtualenv（作为管理员）

• 尝试通过cmake安装tensorflow

程序 这是我在启动msys2后所做的：

在TF1.0中，我解决了我遇到的第一个问题（numeric_min_js的下载失败）。 在一些IRC谈话和多次尝试之后-最后我在中注释掉了一行 /tensorflow-rev1-0/tensorflow/tensorboard/bower/BUILD（见下文）

所以现在./configure脚本（TF1.0）运行时没有出现错误（关于http_代理的警告可以忽略，正如我在IRC和谷歌搜索的一些URL上听到的那样）。下面我添加了完整构建尝试的完整日志

我的Python虚拟环境处于运行状态

d:/bin/Python64-3-Anaconda/envs/python64-35/python.exe,

作为我使用的库路径：

D:/bin/Python64-3-Anaconda/envs/python64-35/lib/site-packages.

TF1.0尝试 修补生成（TF1.0） 步骤0：设置环境，激活python环境，cd 启动msys2外壳：

 $ c:/tools/msys64/msys2_shell.cmd

设置环境变量

  user@CRPC0815 MSYS ~
 $ source d:/user/00-Projekte/VrVis/env-cuda-python64-3--1.sh

激活虚拟环境

 $ cd /d/bin/Python64-3-Anaconda/
 $ source activate python64-35

转到来源

 $ cd /d/user/Sourcen/external/tensorflow-rev1-0

  (python64-35)
  user@CRPC0815 MSYS /d/user/Sourcen/external/tensorflow-rev1-0
 $ 

步骤1：bazel清洁 步骤2:/配置 TF 1.2.1构建尝试 步骤0：设置环境，激活python环境，cd （与TF 1.0中的相同）

步骤1：bazel清洁 步骤2:/配置 步骤3：bazel构建和错误 变通 同时，我找到了一种在不需要bazel/cmake/sources的情况下部署Tensorflow（Keras）模型（win7/win10）的解决方法

• 使用中的C-API C_API.h
• 通过vs2015命令提示符从dll创建库：
  dumpbin/exports xxx.dll>xxx.def
  pywrap_tensorflow_internal.lib

• 从Python pywrap_tensorflow_internal.lib中提取gpu库

• 将pyd lib\u pywrap\u tensorflow\u internal.pyd复制到dll路径
• 可能使用gpu选项（python->c）：

• python代码
  gpu_选项=tensorflow.gpu选项（允许_增长=真）
  config=tensorflow.ConfigProto（gpu\U选项=gpu\U选项）
  serialized=config.SerializeToString（）
  [int（i）表示序列化中的i]

• gpu选项的c代码：
  TF_SessionOptions*sess_opts=TF_NewSessionOptions（）
  //tensorflow.gpu选项（允许增长=真）
  uint8_t configProtoGPU[]={50,2,32,1}
  size\u t configProtoGPUlen=sizeof（configProtoGPU）/sizeof（uint8\u t）
  TF_SetConfig（sess_选项、configProtoGPU、configProtoGPUlen、状态）

 $ cd /d/bin/Python64-3-Anaconda/
 $ source activate python64-35

 $ cd /d/user/Sourcen/external/tensorflow-rev1-0

  (python64-35)
  user@CRPC0815 MSYS /d/user/Sourcen/external/tensorflow-rev1-0
 $ 

 (python64-35)
 user@CRPC0815 MSYS /d/user/Sourcen/external/tensorflow-rev1-0
$ bazel clean
 WARNING: ignoring http_proxy in environment.
 ....................
 INFO: Starting clean (this may take a while). Consider using --async if the clean takes more than several minutes.

 (python64-35)
 user@CRPC0815 MSYS /d/user/Sourcen/external/tensorflow-rev1-0
$ ./configure

 Please specify the location of python.
     [Default is /D/bin/Python64-3-Anaconda/envs/python64-35/python]:

 Please specify optimization flags to use during compilation [Default is -march=native]:

 Do you wish to build TensorFlow with the XLA just-in-time compiler (experimental)? [y/N]
  No XLA support will be enabled for TensorFlow

 Found possible Python library paths:
   D:\bin\Python64-3-Anaconda\envs\python64-35\lib\site-packages
   D:\bin\Python64-3-Anaconda\envs\python64-35
 Please input the desired Python library path to use.
   Default is [D:\bin\Python64-3-Anaconda\envs\python64-35\lib\site-packages]

 Using python library path: D:\bin\Python64-3-Anaconda\envs\python64-35\lib\site-packages

 Junction created for util\python\python_include <<===>> D:\bin\Python64-3-Anaconda\envs\python64-35\include

 Junction created for util\python\python_lib <<===>> D:\bin\Python64-3-Anaconda\envs\python64-35\lib\site-packages

 Junction created for third_party\py\numpy\numpy_include <<===>> D:\bin\Python64-3-Anaconda\envs\
                                                                    python64-35\lib\site-packages\numpy\core\include

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

 Configuration finished

 WARNING: ignoring http_proxy in environment.
 INFO: All external dependencies fetched successfully.

 $ bazel build --verbose_failures --config=opt //tensorflow/tools/pip_package:build_pip_package

  WARNING: ignoring http_proxy in environment.

  INFO: Found 1 target...

  ERROR: D:/user/sourcen/external/tensorflow-rev1-0/tensorflow/core/BUILD:1227:1:
   Executing genrule //tensorflow/core:version_info_gen failed:
    bash.exe failed:
     error executing command

      cd C:/users/user/appdata/local/temp/_bazel_user/hnxszhzu/execroot/org_tensorflow

      SET PATH=C:\tools\msys64\usr\bin;C:\tools\msys64\bin;
               D:\bin\Python64-3-Anaconda\envs\python64-35;
               D:\bin\Python64-3-Anaconda\envs\python64-35\Library\mingw-w64\bin;
               D:\bin\Python64-3-Anaconda\envs\python64-35\Library\usr\bin;
               D:\bin\Python64-3-Anaconda\envs\python64-35\Library\bin;
               D:\bin\Python64-3-Anaconda\envs\python64-35\Scripts;
               C:\tools\msys64\usr\bin;
               D:\user\bin\BLAS;
               D:\bin\TDM-GCC-64\bin;
               C:\Program Files (x86)\Microsoft Visual Studio 14.0\Common7\IDE\Extensions\bp2qlotc.p22\NativeBinaries\x86;
               C:\Program Files (x86)\NVIDIA Corporation\PhysX\Common;
               C:\Program Files (x86)\Windows Kits\8.1\Windows Performance Toolkit\;
               C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\bin\amd64_x86\;
               C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\bin\;
               C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\bin\x86_amd64\;
               C:\Program Files (x86)\MSBuild\14.0\bin;
               C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0\bin;
               C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0\libnvvp;
               C:\Program Files\NVIDIA GPU Computing Toolkit\cuDNN\bin;
               C:\Program Files\NVIDIA GPU Computing Toolkit\cuDNN\lib;
               C:\Program Files\TortoiseGit\bin;
               C:\Program Files\Microsoft SQL Server\120\Tools\Binn\;
               C:\Program Files\Microsoft SQL Server\130\Tools\Binn\;
               C:\ProgramData\Oracle\Java\javapath;
               C:\Qt\Qt5.7.0\5.7\msvc2015;
               C:\WINDOWS;
               C:\WINDOWS\System32\Wbem;
               C:\WINDOWS\System32\WindowsPowerShell\v1.0\;
               C:\WINDOWS\system32;
               D:\user\bin\MinGW\msys\1.0\bin;
               D:\user\bin\MinGW\msys\1.0\sbin;
               D:\user\bin\MinGW\msys\1.0\sbin\awk;
               D:\bin\CMake\bin;
               D:\bin\Git\bin;
               [...]
               D:\bin\Python64-3-Anaconda\envs\python64-35\DLLs;
               D:\bin\Python64-3-Anaconda\envs\python64-35\Lib;
               D:\bin\Python64-3-Anaconda\envs\python64-35\libs;
               D:\bin\Slik-Subversion-1-9-2\bin;
               D:\bin\SubversionColabnet\bin;
               D:\bin\TDM-GCC-64\bin;
               C:\tools\msys64\usr\local\bin;
               C:\tools\msys64\usr\bin;
               C:\tools\msys64\usr\bin;
               C:\tools\msys64\opt\bin;
               C:\Windows\System32;
               C:\Windows;
               C:\Windows\System32\Wbem;
               C:\Windows\System32\WindowsPowerShell\v1.0\;
               C:\tools\msys64\usr\bin\site_perl;
               C:\tools\msys64\usr\bin\vendor_perl;
               C:\tools\msys64\usr\bin\core_perl

    C:/tools/msys64/usr/bin/bash.exe -c source external/bazel_tools/tools/genrule/genrule-setup.sh;
                                        tensorflow/tools/git/gen_git_source.py
                                     --generate tensorflow/tools/git/gen/spec.json
                                                tensorflow/tools/git/gen/head
                                                tensorflow/tools/git/gen/branch_ref
                                                 "bazel-out/host/genfiles/tensorflow/core/util/version_info.cc":
                                                  com.google.devtools.build.lib.

    shell.BadExitStatusException: Process exited with status 3.

  Fatal Python error: Py_Initialize: unable to load the file system codec
  ImportError: No module named 'encodings'

  Current thread 0x0000628c (most recent call first):
  Target //tensorflow/tools/pip_package:build_pip_package failed to build
  INFO: Elapsed time: 5,500s, Critical Path: 0,41s

 $ source d:/user/00-Projekte/VrVis/env-cuda-python64-3--1.sh
 $ cd /d/bin/Python64-3-Anaconda/
 $ source activate python64-35
 $ cd /d/user/Sourcen/external/tensorflow-master-201707051514/tensorflow-master-rev-1-2-1/

 $ bazel clean

  WARNING: ignoring http_proxy in environment.
  INFO: Starting clean (this may take a while). Consider using --async if the clean takes more than several minutes

 $ ./configure

  WARNING: ignoring http_proxy in environment.

  You have bazel 0.5.2- installed.

  Please specify the location of python.
    [Default is /D/bin/Python64-3-Anaconda/envs/python64-35/python]:

  Found possible Python library paths:
    D:\bin\Python64-3-Anaconda\envs\python64-35
    D:\bin\Python64-3-Anaconda\envs\python64-35\lib\site-packages
  Please input the desired Python library path to use.
    Default is [D:\bin\Python64-3-Anaconda\envs\python64-35]
  D:/bin/Python64-3-Anaconda/envs/python64-35/lib/site-packages

  Do you wish to build TensorFlow with MKL support? [y/N]
  No MKL 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]:

  Do you wish to build TensorFlow with the XLA just-in-time compiler (experimental)? [y/N]
  No XLA support will be enabled for TensorFlow

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

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

  Do you wish to build TensorFlow with MPI support? [y/N]
  MPI support will not be enabled for TensorFlow

  Configuration finished

  (python64-35)
  user@CRPC0815 MSYS /d/user/Sourcen/external/tensorflow-master-201707051514/tensorflow-master-rev-1-2-1
 $ bazel build --verbose_failures --config=opt //tensorflow/tools/pip_package:build_pip_package

  WARNING: ignoring http_proxy in environment.

  INFO: Found 1 target...

  ERROR: D:/user/sourcen/external/tensorflow-master-201707051514/tensorflow-master-rev-1-2-1/tensorflow/core/BUILD:1415:1:
         Executing genrule //tensorflow/core:version_info_gen failed:
          bash.exe failed:
           error executing command

           cd C:/users/user/appdata/local/temp/_bazel_user/chogfwdz/execroot/org_tensorflow

           SET PATH=C:\tools\msys64\usr\bin;
                    C:\tools\msys64\bin;
                    C:\tools\msys64\usr\bin;
                    D:\user\bin\BLAS;
                    D:\bin\TDM-GCC-64\bin;
                    C:\Program Files (x86)\Microsoft Visual Studio 14.0\Common7\IDE\Extensions\bp2qlotc.p22\NativeBinaries\x86;
                    C:\Program Files (x86)\NVIDIA Corporation\PhysX\Common;
                    C:\Program Files (x86)\Windows Kits\8.1\Windows Performance Toolkit\;
                    C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\bin\amd64_x86\;
                    C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\bin\;
                    C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\bin\x86_amd64\;
                    C:\Program Files (x86)\MSBuild\14.0\bin;
                    C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0\bin;
                    C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0\libnvvp;
                    C:\Program Files\NVIDIA GPU Computing Toolkit\cuDNN\bin;
                    C:\Program Files\NVIDIA GPU Computing Toolkit\cuDNN\lib;
                    C:\Program Files\TortoiseGit\bin;
                    C:\Program Files\Microsoft SQL Server\120\Tools\Binn\;
                    C:\Program Files\Microsoft SQL Server\130\Tools\Binn\;
                    C:\ProgramData\Oracle\Java\javapath;
                    C:\Qt\Qt5.7.0\5.7\msvc2015;
                    C:\WINDOWS;
                    C:\WINDOWS\System32\Wbem;
                    C:\WINDOWS\System32\WindowsPowerShell\v1.0\;
                    C:\WINDOWS\system32;
                    D:\BaslerPylon5\Runtime\Win32\;
                    D:\BaslerPylon5\Runtime\x64\;
                    D:\user\bin\MinGW\msys\1.0\bin;
                    D:\user\bin\MinGW\msys\1.0\sbin;
                    D:\user\bin\MinGW\msys\1.0\sbin\awk;
                    D:\bin\CMake\bin;
                    D:\bin\Git\bin;
                    D:\bin\Python64-3-Anaconda\envs\python64-35;
                    D:\bin\Python64-3-Anaconda\envs\python64-35\Library\bin;
                    D:\bin\Python64-3-Anaconda\envs\python64-35\Scripts;
                    D:\bin\Python64-3-Anaconda\envs\python64-35\DLLs;
                    D:\bin\Python64-3-Anaconda\envs\python64-35\Lib;
                    D:\bin\Python64-3-Anaconda\envs\python64-35\libs;
                    D:\bin\Slik-Subversion-1-9-2\bin;
                    D:\bin\SubversionColabnet\bin;
                    D:\bin\TDM-GCC-64\bin;
                    D:\bin\gnuplot\bin;
                    D:\user\bin;
    .
    C:/tools/msys64/usr/bin/bash.exe -c source external/bazel_tools/tools/genrule/genrule-setup.sh;
                                        tensorflow/tools/git/gen_git_source.py
                                     --generate tensorflow/tools/git/gen/spec.json
                                                tensorflow/tools/git/gen/head tensorflow/tools/git/gen/branch_ref
                                                 "bazel-out/host/genfiles/tensorflow/core/util/version_info.cc":
                                                  com.google.devtools.build.lib.shell.

    BadExitStatusException: Process exited with status 3.

  Fatal Python error: Py_Initialize: unable to load the file system codec
  ImportError: No module named 'encodings'

  Current thread 0x000036e8 (most recent call first):
  Target //tensorflow/tools/pip_package:build_pip_package failed to build

  INFO: Elapsed time: 5,413s, Critical Path: 0,52s