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
GPU
| Version | Python version | cuDNN | CUDA |
|---|---|---|---|
| tensorflow_gpu-2.11.0 | 3.7-3.10 | 8.1 | 11.2 |
| tensorflow_gpu-2.10.0 | 3.7-3.10 | 8.1 | 11.2 |
| tensorflow_gpu-2.9.0 | 3.7-3.10 | 8.1 | 11.2 |
| tensorflow_gpu-2.8.0 | 3.7-3.10 | 8.1 | 11.2 |
| tensorflow_gpu-2.7.0 | 3.7-3.9 | 8.1 | 11.2 |
| tensorflow_gpu-2.6.0 | 3.6-3.9 | 8.1 | 11.2 |
| tensorflow_gpu-2.5.0 | 3.6-3.9 | 8.1 | 11.2 |
| tensorflow_gpu-2.4.0 | 3.6-3.8 | 8.0 | 11.0 |
| tensorflow_gpu-2.3.0 | 3.5-3.8 | 7.6 | 10.1 |
| tensorflow_gpu-2.2.0 | 3.5-3.8 | 7.6 | 10.1 |
| tensorflow_gpu-2.1.0 | 3.5-3.7 | 7.6 | 10.1 |
| tensorflow_gpu-2.0.0 | 3.5-3.7 | 7.4 | 10 |
| tensorflow_gpu-1.15.0 | 3.5-3.7 | 7.4 | 10 |
| tensorflow_gpu-1.14.0 | 3.5-3.7 | 7.4 | 10 |
| tensorflow_gpu-1.13.0 | 3.5-3.7 | 7.4 | 10 |
| tensorflow_gpu-1.12.0 | 3.5-3.6 | 7.2 | 9.0 |
| tensorflow_gpu-1.11.0 | 3.5-3.6 | 7 | 9 |
| tensorflow_gpu-1.10.0 | 3.5-3.6 | 7 | 9 |
| tensorflow_gpu-1.9.0 | 3.5-3.6 | 7 | 9 |
| tensorflow_gpu-1.8.0 | 3.5-3.6 | 7 | 9 |
| tensorflow_gpu-1.7.0 | 3.5-3.6 | 7 | 9 |
| tensorflow_gpu-1.6.0 | 3.5-3.6 | 7 | 9 |
| tensorflow_gpu-1.5.0 | 3.5-3.6 | 7 | 9 |
| tensorflow_gpu-1.4.0 | 3.5-3.6 | 6 | 8 |
| tensorflow_gpu-1.3.0 | 3.5-3.6 | 6 | 8 |
| tensorflow_gpu-1.2.0 | 3.5-3.6 | 5.1 | 8 |
| tensorflow_gpu-1.1.0 | 3.5 | 5.1 | 8 |
| tensorflow_gpu-1.0.0 | 3.5 | 5.1 | 8 |
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