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Update 030_INSTALL_CUDA_AND_ROCM.md

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docs/installation/030_INSTALL_CUDA_AND_ROCM.md
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@ -70,12 +70,13 @@ Runtime Site](https://developer.nvidia.com/nvidia-container-runtime)
9. Login or create an Account.
10. Choose the newer version of Cudnnn but __read__ the Important Note __Important Note:__
There is two version 11x or 12x for the differents architectures(Turing,Maxwell Etc...) of GPUs.
You can find which version you should download here note that it's based on your graphics card architecture so for exemple a 4090 use the Ada Lovelace Architecture etc.: __https://docs.nvidia.com/deeplearning/cudnn/support-matrix/index.html__
11. Log-in Or Create An account
12. Download the latest version and extract it from the download location
13. Find the bin folder E\cudnn-windows-x86_64-__Whatever Version__\bin
14. Copy and paste the 7 .dll files into YourInvokeFolderHere\\.venv\Lib\site-packages\torch\lib **Make sure to copy, and not move the files**
15. If prompted, replace any existing files
You can find which version you should download on the link below. note that it's based on your graphics card architecture so for exemple a 4090 use the Ada Lovelace Architecture etc.
__https://docs.nvidia.com/deeplearning/cudnn/support-matrix/index.html__
12. Log-in Or Create An account
13. Download the latest version and extract it from the download location
14. Find the bin folder E\cudnn-windows-x86_64-__Whatever Version__\bin
15. Copy and paste the 7 .dll files into YourInvokeFolderHere\\.venv\Lib\site-packages\torch\lib **Make sure to copy, and not move the files**
16. If prompted, replace any existing files
**Notes:**
* If no change is seen or any issues are encountered, follow the same steps as above and paste the torch/lib backup folder you made earlier and replace it. If you didn't make a backup, you can also uninstall and reinstall torch through the command line to repair this folder.