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Update 030_INSTALL_CUDA_AND_ROCM.md

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Added Extra step and clarification on how to choose between 11x or 12x update for Cudnnn dll
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Keerigan45 2023-09-07 03:24:13 +02:00 committed by GitHub
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docs/installation/030_INSTALL_CUDA_AND_ROCM.md
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@ -66,12 +66,16 @@ Runtime Site](https://developer.nvidia.com/nvidia-container-runtime)
5. Click on Torch directory - e.g., YourInvokeFolderHere\InvokeAI\\.venv\Lib\site-packages\torch 5. Click on Torch directory - e.g., YourInvokeFolderHere\InvokeAI\\.venv\Lib\site-packages\torch
6. Click on the lib folder - e.g., YourInvokeFolderHere\\.venv\Lib\site-packages\torch\lib 6. Click on the lib folder - e.g., YourInvokeFolderHere\\.venv\Lib\site-packages\torch\lib
7. Copy everything inside the folder and save it elsewhere as a backup. 7. Copy everything inside the folder and save it elsewhere as a backup.
8. Go to https://developer.nvidia.com/cudnn 8. Go to __https://developer.nvidia.com/cudnn__
9. Log-in Or Create An account 9. Login or create an Account.
10. Download the latest version and extract it from the download location 10. Choose the newer version of Cudnnn but __read__ the Important Note __Important Note:__
12. Find the bin folder E\cudnn-windows-x86_64-__Whatever Version__\bin There is two version 11x or 12x for the differents architectures(Turing,Maxwell Etc...) of GPUs.
13. Copy and paste the 7 .dll files into YourInvokeFolderHere\\.venv\Lib\site-packages\torch\lib **Make sure to copy, and not move the files** 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__
14. If prompted, replace any existing files 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
**Notes:** **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. * 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.