详解详解Tensorflow不同版本要求与不同版本要求与CUDA及及CUDNN版本对应关版本对应关
系系
主要介绍了详解Tensorflow不同版本要求与CUDA及CUDNN版本对应关系，文中通过示例代码介绍的非常详
细，对大家的学习或者工作具有一定的参考学习价值，需要的朋友们下面随着小编来一起学习学习吧
参考官网地址：
Windows端：https://tensorflow.google.cn/install/source_windows
CPU
Version Python version Compiler Build tools
tensorflow-1.11.0 3.5-3.6 MSVC 2015 update 3 Cmake v3.6.3
tensorflow-1.10.0 3.5-3.6 MSVC 2015 update 3 Cmake v3.6.3
tensorflow-1.9.0 3.5-3.6 MSVC 2015 update 3 Cmake v3.6.3
tensorflow-1.8.0 3.5-3.6 MSVC 2015 update 3 Cmake v3.6.3
tensorflow-1.7.0 3.5-3.6 MSVC 2015 update 3 Cmake v3.6.3
tensorflow-1.6.0 3.5-3.6 MSVC 2015 update 3 Cmake v3.6.3
tensorflow-1.5.0 3.5-3.6 MSVC 2015 update 3 Cmake v3.6.3
tensorflow-1.4.0 3.5-3.6 MSVC 2015 update 3 Cmake v3.6.3
tensorflow-1.3.0 3.5-3.6 MSVC 2015 update 3 Cmake v3.6.3
tensorflow-1.2.0 3.5-3.6 MSVC 2015 update 3 Cmake v3.6.3
tensorflow-1.1.0 3.5 MSVC 2015 update 3 Cmake v3.6.3
tensorflow-1.0.0 3.5 MSVC 2015 update 3 Cmake v3.6.3
GPU
Version Python version Compiler Build tools cuDNN CUDA
tensorflow_gpu-1.11.0 3.5-3.6 MSVC 2015 update 3 Bazel 0.15.0 7 9
tensorflow_gpu-1.10.0 3.5-3.6 MSVC 2015 update 3 Cmake v3.6.3 7 9
tensorflow_gpu-1.9.0 3.5-3.6 MSVC 2015 update 3 Cmake v3.6.3 7 9
tensorflow_gpu-1.8.0 3.5-3.6 MSVC 2015 update 3 Cmake v3.6.3 7 9
tensorflow_gpu-1.7.0 3.5-3.6 MSVC 2015 update 3 Cmake v3.6.3 7 9
tensorflow_gpu-1.6.0 3.5-3.6 MSVC 2015 update 3 Cmake v3.6.3 7 9
tensorflow_gpu-1.5.0 3.5-3.6 MSVC 2015 update 3 Cmake v3.6.3 7 9
tensorflow_gpu-1.4.0 3.5-3.6 MSVC 2015 update 3 Cmake v3.6.3 6 8
tensorflow_gpu-1.3.0 3.5-3.6 MSVC 2015 update 3 Cmake v3.6.3 6 8
tensorflow_gpu-1.2.0 3.5-3.6 MSVC 2015 update 3 Cmake v3.6.3 5.1 8
tensorflow_gpu-1.1.0
3.5 MSVC 2015 update 3
Cmake v3.6.3
5.1 8
tensorflow_gpu-1.0.0 3.5 MSVC 2015 update 3 Cmake v3.6.3 5.1 8
Linux端：https://tensorflow.google.cn/install/source
Linux
Version Python version Compiler Build tools
tensorflow-1.11.0 2.7, 3.3-3.6 GCC 4.8
Bazel
0.15.0
tensorflow-1.10.0 2.7, 3.3-3.6 GCC 4.8
Bazel
0.15.0
tensorflow-1.9.0 2.7, 3.3-3.6 GCC 4.8
Bazel
0.11.0
tensorflow-1.8.0 2.7, 3.3-3.6 GCC 4.8
Bazel
0.10.0
tensorflow-1.7.0 2.7, 3.3-3.6 GCC 4.8
Bazel
0.10.0
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