TensoFlow版本配套关系表
由于前一段时间做了一个关于深度学习的项目，在项目中发现Windows环境下不能安装Python2.7版本的tensorflow，然后索性就来了解一下tensorflow的各种版本的配套关系。
cuda、cudnn的安装方法请参考我的另外一篇博客。
需要注意：
1.Windows环境下不能安装Python2.7版本的tensorflow；
2.tensorflow、Python、cuda、cudnn必须严格匹配，不然就会出现各种奇奇怪怪的问题；
3.关于这些工具的基本介绍，以及深度学习的入门介绍请下载我制作的ppt自行学习。
我的ppt：https://download.csdn.net/download/wanzhen4330/10600881（只要2个积分，没有积分的小伙伴可以私聊我哦，我也是想赚点积分用用，不要责怪我哈）
Linux
| Version: |
CPU/GPU:
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|
Python Version: |
Compiler: |
Build Tools: |
cuDNN: |
CUDA: |
| tensorflow-1.6.0 |
CPU |
2.7, 3.3-3.6 |
GCC 4.8 |
Bazel 0.9.0 |
N/A |
N/A |
| tensorflow_gpu-1.6.0 |
GPU |
2.7, 3.3-3.6 |
GCC 4.8 |
Bazel 0.9.0 |
7 |
9 |
| tensorflow-1.5.0 |
CPU |
2.7, 3.3-3.6 |
GCC 4.8 |
Bazel 0.8.0 |
N/A |
N/A |
| tensorflow_gpu-1.5.0 |
GPU |
2.7, 3.3-3.6 |
GCC 4.8 |
Bazel 0.8.0 |
7 |
9 |
| tensorflow-1.4.0 |
CPU |
2.7, 3.3-3.6 |
GCC 4.8 |
Bazel 0.5.4 |
N/A |
N/A |
| tensorflow_gpu-1.4.0 |
GPU |
2.7, 3.3-3.6 |
GCC 4.8 |
Bazel 0.5.4 |
6 |
8 |
| tensorflow-1.3.0 |
CPU |
2.7, 3.3-3.6 |
GCC 4.8 |
Bazel 0.4.5 |
N/A |
N/A |
| tensorflow_gpu-1.3.0 |
GPU |
2.7, 3.3-3.6 |
GCC 4.8 |
Bazel 0.4.5 |
6 |
8 |
| tensorflow-1.2.0 |
CPU |
2.7, 3.3-3.6 |
GCC 4.8 |
Bazel 0.4.5 |
N/A |
N/A |
| tensorflow_gpu-1.2.0 |
GPU |
2.7, 3.3-3.6 |
GCC 4.8 |
Bazel 0.4.5 |
5.1 |
8 |
| tensorflow-1.1.0 |
CPU |
2.7, 3.3-3.6 |
GCC 4.8 |
Bazel 0.4.2 |
N/A |
N/A |
| tensorflow_gpu-1.1.0 |
GPU |
2.7, 3.3-3.6 |
GCC 4.8 |
Bazel 0.4.2 |
5.1 |
8 |
| tensorflow-1.0.0 |
CPU |
2.7, 3.3-3.6 |
GCC 4.8 |
Bazel 0.4.2 |
N/A |
N/A |
| tensorflow_gpu-1.0.0 |
GPU |
2.7, 3.3-3.6 |
GCC 4.8 |
Bazel 0.4.2 |
5.1 |
8 |
Mac
| Version: |
CPU/GPU: |
Python Version: |
Compiler: |
Build Tools: |
cuDNN: |
CUDA: |
| tensorflow-1.6.0 |
CPU |
2.7, 3.3-3.6 |
Clang from xcode |
Bazel 0.8.1 |
N/A |
N/A |
| tensorflow-1.5.0 |
CPU |
2.7, 3.3-3.6 |
Clang from xcode |
Bazel 0.8.1 |
N/A |
N/A |
| tensorflow-1.4.0 |
CPU |
2.7, 3.3-3.6 |
Clang from xcode |
Bazel 0.5.4 |
N/A |
N/A |
| tensorflow-1.3.0 |
CPU |
2.7, 3.3-3.6 |
Clang from xcode |
Bazel 0.4.5 |
N/A |
N/A |
| tensorflow-1.2.0 |
CPU |
2.7, 3.3-3.6 |
Clang from xcode |
Bazel 0.4.5 |
N/A |
N/A |
| tensorflow-1.1.0 |
CPU |
2.7, 3.3-3.6 |
Clang from xcode |
Bazel 0.4.2 |
N/A |
N/A |
| tensorflow_gpu-1.1.0 |
GPU |
2.7, 3.3-3.6 |
Clang from xcode |
Bazel 0.4.2 |
5.1 |
8 |
| tensorflow-1.0.0 |
CPU |
2.7, 3.3-3.6 |
Clang from xcode |
Bazel 0.4.2 |
N/A |
N/A |
| tensorflow_gpu-1.0.0 |
GPU |
2.7, 3.3-3.6 |
Clang from xcode |
Bazel 0.4.2 |
5.1 |
8 |
Windows
| Version: |
CPU/GPU: |
Python Version: |
Compiler: |
Build Tools: |
cuDNN: |
CUDA: |
| tensorflow-1.6.0 |
CPU |
3.5-3.6 |
MSVC 2015 update 3 |
Cmake v3.6.3 |
N/A |
N/A |
| tensorflow_gpu-1.6.0 |
GPU |
3.5-3.6 |
MSVC 2015 update 3 |
Cmake v3.6.3 |
7 |
9 |
| tensorflow-1.5.0 |
CPU |
3.5-3.6 |
MSVC 2015 update 3 |
Cmake v3.6.3 |
N/A |
N/A |
| tensorflow_gpu-1.5.0 |
GPU |
3.5-3.6 |
MSVC 2015 update 3 |
Cmake v3.6.3 |
7 |
9 |
| tensorflow-1.4.0 |
CPU |
3.5-3.6 |
MSVC 2015 update 3 |
Cmake v3.6.3 |
N/A |
N/A |
| tensorflow_gpu-1.4.0 |
GPU |
3.5-3.6 |
MSVC 2015 update 3 |
Cmake v3.6.3 |
6 |
8 |
| tensorflow-1.3.0 |
CPU |
3.5-3.6 |
MSVC 2015 update 3 |
Cmake v3.6.3 |
N/A |
N/A |
| tensorflow_gpu-1.3.0 |
GPU |
3.5-3.6 |
MSVC 2015 update 3 |
Cmake v3.6.3 |
6 |
8 |
| tensorflow-1.2.0 |
CPU |
3.5-3.6 |
MSVC 2015 update 3 |
Cmake v3.6.3 |
N/A |
N/A |
| tensorflow_gpu-1.2.0 |
GPU |
3.5-3.6 |
MSVC 2015 update 3 |
Cmake v3.6.3 |
5.1 |
8 |
| tensorflow-1.1.0 |
CPU |
3.5 |
MSVC 2015 update 3 |
Cmake v3.6.3 |
N/A |
N/A |
| tensorflow_gpu-1.1.0 |
GPU |
3.5 |
MSVC 2015 update 3 |
Cmake v3.6.3 |
5.1 |
8 |
| tensorflow-1.0.0 |
CPU |
3.5 |
MSVC 2015 update 3 |
Cmake v3.6.3 |
N/A |
N/A |
| tensorflow_gpu-1.0.0 |
GPU |
3.5 |
MSVC 2015 update 3 |
Cmake v3.6.3 |
5.1 |
8 |
参考资料：https://wenku.baidu.com/view/24695b2f814d2b160b4e767f5acfa1c7aa0082e3.html