代码收藏家 Tensorflow与CUDA、cudnn版本对应关系
不同版本的Tensorflow需对应不同的CUDA和cudnn版本，否者容易安装失败。可按下图所示，根据想要安装的Tensorflow版本，选择对应版本的CUDA和cudnn。
其中CUDA的下载链接为：
CUDA Toolkit Archive | NVIDIA Developer
cudnn下载链接（需要登录开发者账号）为：
cuDNN Archive | NVIDIA Developer
|
Version |
Python version |
cuDNN |
CUDA |
|
tensorflow-2.9.0 |
3.7-3.10 |
8.1 |
11.2 |
|
tensorflow-2.8.0 |
3.7-3.10 |
8.1 |
11.2 |
|
tensorflow-2.7.0 |
3.7-3.9 |
8.1 |
11.2 |
|
tensorflow-2.6.0 |
3.6-3.9 |
8.1 |
11.2 |
|
tensorflow-2.5.0 |
3.6-3.9 |
8.1 |
11.2 |
|
tensorflow-2.4.0 |
3.6-3.8 |
8.0 |
11.0 |
|
tensorflow-2.3.0 |
3.5-3.8 |
7.6 |
10.1 |
|
tensorflow-2.2.0 |
3.5-3.8 |
7.6 |
10.1 |
|
tensorflow-2.1.0 |
2.7, 3.5-3.7 |
7.6 |
10.1 |
|
tensorflow-2.0.0 |
2.7, 3.3-3.7 |
7.4 |
10.0 |
|
tensorflow_gpu-1.15.0 |
2.7, 3.3-3.7 |
7.4 |
10.0 |
|
tensorflow_gpu-1.14.0 |
2.7, 3.3-3.7 |
7.4 |
10.0 |
|
tensorflow_gpu-1.13.1 |
2.7, 3.3-3.7 |
7.4 |
10.0 |
|
tensorflow_gpu-1.12.0 |
2.7, 3.3-3.6 |
7 |
9 |
|
tensorflow_gpu-1.11.0 |
2.7, 3.3-3.6 |
7 |
9 |
|
tensorflow_gpu-1.10.0 |
2.7, 3.3-3.6 |
7 |
9 |
|
tensorflow_gpu-1.9.0 |
2.7, 3.3-3.6 |
7 |
9 |
|
tensorflow_gpu-1.8.0 |
2.7, 3.3-3.6 |
7 |
9 |
|
tensorflow_gpu-1.7.0 |
2.7, 3.3-3.6 |
7 |
9 |
|
tensorflow_gpu-1.6.0 |
2.7, 3.3-3.6 |
7 |
9 |
|
tensorflow_gpu-1.5.0 |
2.7, 3.3-3.6 |
7 |
9 |
|
tensorflow_gpu-1.4.0 |
2.7, 3.3-3.6 |
6 |
8 |
|
tensorflow_gpu-1.3.0 |
2.7, 3.3-3.6 |
6 |
8 |
|
tensorflow_gpu-1.2.0 |
2.7, 3.3-3.6 |
5.1 |
8 |
|
tensorflow_gpu-1.1.0 |
2.7, 3.3-3.6 |
5.1 |
8 |
|
tensorflow_gpu-1.0.0 |
2.7, 3.3-3.6 |
5.1 |
8 |
