a simple cli tools based on python to switch cudnn version on your linux machine
| Version | CUDA | Package |
|---|---|---|
| 7.1 | 9.1 | cudnn-9.1-linux-x64-v7.1.tgz |
| 7.1 | 9.0 | cudnn-9.0-linux-x64-v7.1.tgz |
| 7.1 | 8.0 | cudnn-8.0-linux-x64-v7.1.tgz |
| 7.0 | 9.1 | cudnn-9.1-linux-x64-v7.tgz |
| 7.0 | 9.0 | cudnn-9.0-linux-x64-v7.tgz |
| 7.0 | 8.0 | cudnn-8.0-linux-x64-v7.tgz |
| 6.0 | 8.0 | cudnn-8.0-linux-x64-v6.0.tgz |
| 6.0 | 7.5 | cudnn-7.5-linux-x64-v6.0.tgz |
| 5.1 | 8.0 | cudnn-8.0-linux-x64-v5.1.tgz |
| 5.1 | 7.5 | cudnn-7.5-linux-x64-v5.1.tgz |
| 5.0 | 8.0 | cudnn-8.0-linux-x64-v5.0-ga.tgz |
| 5.0 | 7.5 | cudnn-7.5-linux-x64-v5.0-ga.tgz |
| 4.0 | 7.0 | cudnn-7.0-linux-x64-v4.0-prod.tgz |
| 3.0 | 7.0 | cudnn-7.0-linux-x64-v3.0.8-prod.tgz |
| 2.0 | 6.5 | cudnn-6.5-linux-x64-v2.tgz |
| 1.0 | 6.5 | cudnn-6.5-linux-R1.tgz |
according to https://developer.nvidia.com/rdp/cudnn-download
-
Download cudnn package first, and put it on packages folder ( no need to extract )
-
run this script to switch the cudnn version
python cudnnswitch.py -v <cudnn version> -c <cuda version> -d <cuda directory path>example :
python cudnnswitch.py -v 6.0 -c 8.0 -d /usr/local/cuda-8.0
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