错误建设tensorflow与cazu支持窗口与bazel

Question

我想通过bazel编译Windows 10 64位CUDA支持TensorFlow。 这是我的系统是如何设置：

• 的Windows 10 64位
• 的Nvidia GeForce 1050与CUDA功能6.1
• CUDA工具包8.0 - >C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0
• cuDNN V6.0 - >C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0
• 巴泽勒0.7.0（更名为bazel.exe） - >C:\Users\eliam\bazel\0.7.0
• MSYS2 64
• 十sorFlow主分支 - >C:\Users\eliam\tensorflow

我也已经设置这些环境变量：

BAZEL_PYTHON=C:/Users/eliam/Miniconda3 
BAZEL_SH=C:/msys64/usr/bin/bash.exe 
BAZEL_VC=C:/Program Files (x86)/Microsoft Visual Studio/2017/BuildTools/VC 
BAZEL_VS=C:/Program Files (x86)/Microsoft Visual Studio 14.0 
CUDA_PATH=C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v8.0 
CUDA_TOOLKIT_PATH=C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v8.0 
LD_LIBRARY_PATH=C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v8.0/lib/x64 
PYTHON_BIN_PATH=C:/Users/eliam/Miniconda3/python.exe 
PYTHON_PATH=C:/Users/eliam/Miniconda3/python.exe 
PYTHONPATH=C:/Users/eliam/Miniconda3/python.exe 
PYTHON_LIB_PATH=C:/Users/eliam/Miniconda3/lib/site-packages 
PATH=C:\Users\eliam\bazel\0.7.0;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0\lib\x64;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0\include;%PATH% 

巴泽勒设置了（https://docs.bazel.build/versions/master/install-windows.html）通过其网站所需要的所有步骤

MSYS2是（http://www.msys2.org/）

我设法完成了configure.py，没有问题。

python ./configure.py 
You have bazel 0.7.0 installed. 
Do you wish to build TensorFlow with XLA JIT support? [y/N]: 
No XLA JIT support will be enabled for TensorFlow. 

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

Please specify the CUDA SDK version you want to use, e.g. 7.0. [Leave empty to default to CUDA 8.0]: 


Please specify the cuDNN version you want to use. [Leave empty to default to cuDNN 6.0]: 


Please specify the location where cuDNN 6 library is installed. Refer to README.md for more details. [Default is C:/Program Files/NVIDIA     GPU Computing Toolkit/CUDA/v8.0]: 


Please specify a list of comma-separated Cuda compute capabilities you want to build with. 
You can find the compute capability of your device at: https://developer.nvidia.com/cuda-gpus. 
Please note that each additional compute capability significantly increases your build time and binary size. [Default is: 3.5,5.2] 


Do you wish to build TensorFlow with MPI support? [y/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]: 


Add "--config=mkl" to your bazel command to build with MKL support. 
Please note that MKL on MacOS or windows is still not supported. 
If you would like to use a local MKL instead of downloading, please set the environment variable "TF_MKL_ROOT" every time before build. 
Configuration finished 

之后，我设置一些其他的环境变量用下面的命令：

set BUILD_OPTS='--cpu=x64_windows_msvc --host_cpu=x64_windows_msvc --copt=/w --verbose_failures --experimental_ui --config=cuda' 

为了防止这种错误

$ bazel build -c opt --config=cuda --verbose_failures --subcommands //tensorflow/cc:tutorials_example_trainer 
.............. 
WARNING: The lower priority option '-c opt' does not override the previous value '-c opt'. 
____Loading package: tensorflow/cc 
____Loading package: @local_config_cuda//crosstool 
____Loading package: @local_config_xcode// 
ERROR: No toolchain found for cpu 'x64_windows'. Valid cpus are: [ 
    k8, 
    piii, 
    arm, 
    darwin, 
    ppc, 
]. 
____Elapsed time: 10.196s 

然后我开始巴泽勒构建，使用下面的命令

bazel build -c opt $BUILD_OPTS //tensorflow/tools/pip_package:build_pip_package 

这是问题出现的地方。这是完整日志的link。

任何想法为什么？

Answer 1

日志的重要组成部分，是这样的：

ERROR: C:/msys64/home/eliam/tensorflow/tensorflow/stream_executor/BUILD:52:1: C++ compilation of rule '//tensorflow/stream_executor:cuda_platform' failed (Exit 2). 
tensorflow/stream_executor/cuda/cuda_platform.cc(48): error C3861: 'strcasecmp': identifier not found 
tensorflow/stream_executor/cuda/cuda_platform.cc(50): error C3861: 'strcasecmp': identifier not found 
tensorflow/stream_executor/cuda/cuda_platform.cc(52): error C3861: 'strcasecmp': identifier not found 
Target //tensorflow/cc:tutorials_example_trainer failed to build 

tensorflow/stream_executor/cuda/cuda_platform.cc(48)有strcmp在里面。

编译器抱怨strcasecmp，因此东西必须是#define'strcmp到strcasecmp。无论如何，你可以用--verbose_failures来运行这个版本吗？这将显示Bazel正在执行的命令。这可能暗示发生了什么。

而且，我看到这个在你的envvars中：

BAZEL_VC=C:/Program Files (x86)/Microsoft Visual Studio/2017/BuildTools/VC 
BAZEL_VS=C:/Program Files (x86)/Microsoft Visual Studio 14.0 

你只需要设置的其中之一。我建议保留BAZEL_VC，因为它指向更新的编译器。我承认，当两种环境都被定义时，我不知道会发生什么，无论Bazel是否喜欢另一个。但我知道只有其中之一定义它可以正常工作。