在c / c ++中使用Python训练（keras）模型。 请参阅c-work-around的解决方法部分。
从源代码编译Tensorflow（rev 1.0或1.2.1） 按照
的说明进行操作https://www.tensorflow.org/install/install_windows
（tensorflow已经通过python3中的pip安装了，但是我需要从c ++中使用它，所以从源代码安装似乎是强制性的）
（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，进行bazel clean，。/ configure，
bazel build --verbose_failures --config=opt //tensorflow/tools/pip_package:build_pip_package
我收到此错误：
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，我绝对迷失在这里，这条消息什么也没告诉我。 这里有一些上面提到的文件片段，也许有人有胶水给我一个启示的暗示....
// tensorflow /核心/ BUILD：1415：1 tf_version_info_genrule（）
cc_library(
name = "version_lib",
srcs = ["util/version_info.cc"],
hdrs = ["public/version.h"],
copts = tf_copts(),
)
巴泽勒/.../ genrule-setup.sh
set -e
set -u
set -o pipefail
// tensorflow /工具/ GIT中/ gen_git_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） - 还安装了其他几个python版本（2.7-32,2.7-64,3.5-32,3.5-64）（否则需要） ）。
如果bazel正在使用正确的python（virtualenv），我该怎么办？
如果bazel使用了错误的，我怎么能改变它？
如果bazel正在使用正确的版本，我怎样才能获得有关出错的更多细节（并修复它）？
需要哪些进一步的信息（环境变量）？
如何改善问题以使人们能够提供建议？ （请发表评论，遗漏什么，错误，不清楚，太多）
我搜索了＃34; Fatal Python错误：Py_Initialize：无法加载文件系统编解码器 ImportError：没有名为＆＃39;编码的模块＆＃39;＆＃34;
尝试使用本地管理员帐户执行以下程序 - ＆gt;被公司防火墙阻止
尝试设置PYTHONPATH和PYTHONHOME，没效果。
export PYTHONHOME = / D / bin / Python64-3-Anaconda / envs / python64-35
export PYTHONPATH = / D / bin / Python64-3-Anaconda / envs / python64-35： / d /斌/ Python64-3-蟒蛇/ ENVS / python64-35 / lib目录/网站套餐： / d / bin中/ Python64-3-阿纳康达/ ENVS / python64-35 /库
尝试设置另一个virtualenv（作为管理员）
尝试通过cmake安装tensorflow
这是我在启动msys2后所做的：
在TF 1.0中，我针对我遇到的第一个问题（下载numeric_min_js的失败）进行了解决。 经过一些IRC谈话＆amp;很多尝试 - 最后我注释掉了一行 / tensorflow-rev1-0 / tensorflow / tensorboard / bower / BUILD（见下文）。
所以现在./configure脚本（TF 1.0）运行没有错误（关于http_proxy的警告可以被忽略，因为我已经在IRC和我用Google搜索的一些URL上告知过）。下面我添加了完整构建尝试的完整日志。
我的Python虚拟环境在
d:/bin/Python64-3-Anaconda/envs/python64-35/python.exe,
我使用的库路径：
D:/bin/Python64-3-Anaconda/envs/python64-35/lib/site-packages.
.../tensorflow-rev1-0/tensorflow/tensorboard/bower/BUILD
filegroup(
name = "bower",
srcs = [
...
# "@numericjs_numeric_min_js//file", # by rg20170710
...
user@CRPC0815 MSYS ~
$ cd /d/user/Sourcen/external/tensorflow-rev1-0/
启动msys2-shell：
$ 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virtual-env
$ 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
$
(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
（与TF 1.0相同）
$ 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
与此同时，我找到了部署Tensorflow（Keras）模型（win7 / win10）的解决方法，无需使用bazel / cmake / sources ......：
通过vs2015命令提示符从dll创建lib：
dumpbin / exports xxx.dll＆gt; xxx.def
pywrap_tensorflow_internal.lib
从python中提取gpu lib pywrap_tensorflow_internal.lib
也许使用gpu-options（python - ＆gt; c）：
python代码
gpu_options = tensorflow.GPUOptions（allow_growth = True）
config = tensorflow.ConfigProto（gpu_options = gpu_options）
serialized = config.SerializeToString（）
[int（i）for i in serialized]
gpu-options的c代码：
TF_SessionOptions * sess_opts = TF_NewSessionOptions（）;
// tensorflow.GPUOptions（allow_growth = True）...
uint8_t configProtoGPU [] = {50,2,32,1};
size_t configProtoGPUlen = sizeof（configProtoGPU）/ sizeof（uint8_t）;
TF_SetConfig（sess_opts，configProtoGPU，configProtoGPUlen，status）;