TensoFlow版本配套關係表
由於前一段時間做了一個關於深度學習的項目，在項目中發現Windows環境下不能安裝Python2.7版本的tensorflow，然後索性就來了解一下tensorflow的各種版本的配套關係。
cuda、cudnn的安裝方法請參考我的另外一篇博客。
需要注意：
1.Windows環境下不能安裝Python2.7版本的tensorflow；
2.tensorflow、Python、cuda、cudnn必須嚴格匹配，不然就會出現各種奇奇怪怪的問題；
3.關於這些工具的基本介紹，以及深度學習的入門介紹請下載我製作的ppt自行學習。
我的ppt：https://download.csdn.net/download/wanzhen4330/10600881（只要2個積分，沒有積分的小夥伴可以私聊我哦，我也是想賺點積分用用，不要責怪我哈）
Linux
|
Version: |
CPU/GPU: |
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 |
參考資料：https://wenku.baidu.com/view/24695b2f814d2b160b4e767f5acfa1c7aa0082e3.html