windows下tensorflow安装

1.安装一定要用CUDA8, 安装了半天用CUDA9,结果是搞不了

2.其实anaconda 装tensorflow cpu或者GPU都是超级简单的直接在Navigator 里面配置就行了,网络上的都写的太复杂

3.记得配置环境变量.

配置环境变量的话https://jingyan.baidu.com/article/3ea51489e1c2b752e61bbad0.html

最后在cmd里输入 echo %path% 就能查看你的是否添加进环境变量了

4.帮助文档

[python] view plain copy

print ?

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()

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()

我只是简要的说明了一下,可以先看http://blog.csdn.net/sb19931201/article/details/53648615 如果还不行,再评论问吧