之前已經在另一臺電腦上安裝好了CPU版本的TF,

以為GPU版本的步驟什麼的應該也不難，沒想到還是有些坑要填。

清單：

系統：WIN7

python:3.5版本

CUDA:8.0

Cudnn:v6.0（這裡版本的選擇很重要！！！）

Tensorflow:1.3

下面說下安裝過程：

預設WIN7系統已經裝好了

下載完直接雙擊安裝就好了

二、安裝cuda8.0:

3.      安裝cuda8.0：雙擊cuda_8.0.61_windows.exe直接進行安裝即可，預設安裝到C:\ProgramFiles\NVIDIA GPU Computing Toolkit目錄下；

4.      驗證cuda8.0已正確安裝：

開啟cmd，輸入$ nvcc  -V，結果如下圖：

三、下載cudnn 6.0：

解壓後分別將cuda/include、cuda/lib、cuda/bin三個目錄中的內容拷貝到C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0對應的include、lib、bin目錄下即可。

這裡一定要注意cudnn的版本要和自己的Tensorflow版本相匹配，否則會出現  “DLL load failed: 找不到指定的模組”等各種報錯。

我原先下載的是7.0版本的，後面又查資料說要有cuDNN64_5.dll.就又下載了5.0的，但還是無法執行，後面幸虧找到了個篩查錯誤的程式，才發現要6.0版本的。如果你安裝完TF後，發現不能正常執行，可以試下這個篩查程式碼，如果都OK，請跳過

程式碼如下：

# Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""A script for testing that TensorFlow is installed correctly on Windows.
The script will attempt to verify your TensorFlow installation, and print
suggestions for how to fix your installation.
"""

import ctypes
import imp
import sys

def main():
  try:
    import tensorflow as tf
    print("TensorFlow successfully installed.")
    if tf.test.is_built_with_cuda():
      print("The installed version of TensorFlow includes GPU support.")
    else:
      print("The installed version of TensorFlow does not include GPU support.")
    sys.exit(0)
  except ImportError:
    print("ERROR: Failed to import the TensorFlow module.")

  candidate_explanation = False

  python_version = sys.version_info.major, sys.version_info.minor
  print("\n- Python version is %d.%d." % python_version)
  if not (python_version == (3, 5) or python_version == (3, 6)):
    candidate_explanation = True
    print("- The official distribution of TensorFlow for Windows requires "
          "Python version 3.5 or 3.6.")
  
  try:
    _, pathname, _ = imp.find_module("tensorflow")
    print("\n- TensorFlow is installed at: %s" % pathname)
  except ImportError:
    candidate_explanation = False
    print("""
- No module named TensorFlow is installed in this Python environment. You may
  install it using the command `pip install tensorflow`.""")

  try:
    msvcp140 = ctypes.WinDLL("msvcp140.dll")
  except OSError:
    candidate_explanation = True
    print("""
- Could not load 'msvcp140.dll'. TensorFlow requires that this DLL be
  installed in a directory that is named in your %PATH% environment
  variable. You may install this DLL by downloading Microsoft Visual
  C++ 2015 Redistributable Update 3 from this URL:
  https://www.microsoft.com/en-us/download/details.aspx?id=53587""")

  try:
    cudart64_80 = ctypes.WinDLL("cudart64_80.dll")
  except OSError:
    candidate_explanation = True
    print("""
- 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""")

  try:
    nvcuda = ctypes.WinDLL("nvcuda.dll")
  except OSError:
    candidate_explanation = True
    print("""
- Could not load 'nvcuda.dll'. The GPU version of TensorFlow requires that
  this DLL be installed in a directory that is named in your %PATH%
  environment variable. Typically it is installed in 'C:\Windows\System32'.
  If it is not present, ensure that you have a CUDA-capable GPU with the
  correct driver installed.""")

  cudnn5_found = False
  try:
    cudnn5 = ctypes.WinDLL("cudnn64_5.dll")
    cudnn5_found = True
  except OSError:
    candidate_explanation = True
    print("""
- 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""")

  cudnn6_found = False
  try:
    cudnn = ctypes.WinDLL("cudnn64_6.dll")
    cudnn6_found = True
  except OSError:
    candidate_explanation = True

  if not cudnn5_found or not cudnn6_found:
    print()
    if not cudnn5_found and not cudnn6_found:
      print("- Could not find cuDNN.")
    elif not cudnn5_found:
      print("- Could not find cuDNN 5.1.")
    else:
      print("- Could not find cuDNN 6.")
      print("""
  The GPU version of TensorFlow requires that the correct cuDNN 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. The correct version of
  cuDNN depends on your version of TensorFlow:
  
  * TensorFlow 1.2.1 or earlier requires cuDNN 5.1. ('cudnn64_5.dll')
  * TensorFlow 1.3 or later requires cuDNN 6. ('cudnn64_6.dll')
    
  You may install the necessary DLL by downloading cuDNN from this URL:
  https://developer.nvidia.com/cudnn""")
    
  if not candidate_explanation:
    print("""
- All required DLLs appear to be present. Please open an issue on the
  TensorFlow GitHub page: https://github.com/tensorflow/tensorflow/issues""")

  sys.exit(-1)

if __name__ == "__main__":
  main()
 

我得到的結果如下，注意圈紅色的部分（TF1.2.1或者更早版本的要cudnn64_5.dll，也就是v5版本，但1.3及之後的要cudnn64_6.dll，也就是v6版本）：

四、安裝Tensorflow

官網上有兩種安裝方法，一種是直接安裝，另一種是用Anaconda安裝，我用的是第一種

如果是隻有CPU輸入：pip3 install --upgrade tensorflow

     如果是有GPU的輸入：pip3 install --upgrade tensorflow-gpu

五、驗證是否已正確安裝TF

輸入

$ python

>>>import tensorflow as tf
>>> hello = tf.constant('Hello, TensorFlow!')>>> sess = tf.Session()>>>print(sess.run(hello))

Hello, TensorFlow!

參考網站：

https://www.tensorflow.org/install/install_windows

http://blog.csdn.net/fengbingchun/article/details/53892997

https://gist.github.com/mrry/ee5dbcfdd045fa48a27d56664411d41c#file-tensorflow_self_check-py