解决安装TensorFlow GPU缺少文件的一个比较终极的办法

可能的报错信息

TensorFlow 下，导入这份配置的时候 python 停止运行

ImportError: DLL load failed: 找不到指定的模块 或 ImportError: No module named ‘_pywrap_tensorflow’ 或 Failed to load the native TensorFlow runtime.

importlib.import_module(mname)

等等类似的

我的出错配置

tensorflow_gpu-1.2.1

cudnn-8.0-windows7-x64-v6.0.0

或者cudnn-8.0-windows7-x64-v7.1

或者cudnn-8.0-windows7-x64-v7

以上的cudnn都是错误的，得使用
cudnn-8.0-windows7-x64-v5.1

下面说下怎么知道的

直接放代码。

在部署好的环境里面运行这份代码会给出相应的提示。
https://gist.github.com/mrry/ee5dbcfdd045fa48a27d56664411d41c

依据提示去看自己缺少什么。

附录原文

https://github.com/tensorflow/tensorflow/issues/7623

code

Let's see ... following is the info. After running tensorflow_self_check.py I see that it doesn't find a couple of cud*.dll needed for the GPU version of tensorflow. That's probably because I assumed I already had that installed as part of the NVIDIA software that comes with this PC. That's what I get for assuming!

NVIDIA GeForce GTX 960, 2GB

Intel Core i7-6700K @ 4.0GHz

C:Usersjeffh>pip list | findstr tensorflow
tensorflow-gpu (1.2.1)

Run tensorflow_self_check.py script (note - syntax error line 111 of https://gist.github.com/mrry/ee5dbcfdd045fa48a27d56664411d41c ):

C:UsersjeffhDownloads>python tensorflow_self_check.py
ERROR: Failed to import the TensorFlow module.

• Python version is 3.5.

• TensorFlow is installed at: C:UsersjeffhAppDataLocalProgramsPythonPython35libsite-packages ensorflow

• Could not load 'cudart64_80.dll'. The GPU version of TensorFlow
  requires that this DLL be installed in a directory that is named in
  your %PATH% environment variable. Download and install CUDA 8.0 from
  this URL: https://developer.nvidia.com/cuda-toolkit

• Could not load 'cudnn64_5.dll'. The GPU version of TensorFlow
  requires that this DLL be installed in a directory that is named in
  your %PATH% environment variable. Note that installing cuDNN is a
  separate step from installing CUDA, and it is often found in a
  different directory from the CUDA DLLs. You may install the
  necessary DLL by downloading cuDNN 5.1 from this URL:
  https://developer.nvidia.com/cudnn
  Traceback (most recent call last):
  File "tensorflow_self_check.py", line 137, in
  main()
  File "tensorflow_self_check.py", line 108, in main
  if not cudnn5_found or not cudnn6_found:
  UnboundLocalError: local variable 'cudnn5_found' referenced before assignment