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Updated "\" to be escaped in markdown

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Millun Atluri 2023-09-06 13:58:53 +10:00 committed by GitHub
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docs/installation/030_INSTALL_CUDA_AND_ROCM.md
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@ -60,17 +60,17 @@ Runtime Site](https://developer.nvidia.com/nvidia-container-runtime)
### cuDNN Installation for 40/30 Series Optimization* (Optional)
1. Find the InvokeAI folder
2. Click on .venv folder - e.g., YourInvokeFolderHere\.venv
3. Click on Lib folder - e.g., YourInvokeFolderHere\.venv\Lib
4. Click on site-packages folder - e.g., YourInvokeFolderHere\.venv\Lib\site-packages
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
2. Click on .venv folder - e.g., YourInvokeFolderHere\\.venv
3. Click on Lib folder - e.g., YourInvokeFolderHere\\.venv\Lib
4. Click on site-packages folder - e.g., YourInvokeFolderHere\\.venv\Lib\site-packages
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
7. Copy everything inside the folder and save it elsewhere as a backup.
8. Go to https://developer.nvidia.com/cudnn
9. Log-in Or Create An account
10. Download the latest version and extract it from the download location
12. Find the bin folder E\cudnn-windows-x86_64-__Whatever Version__\bin
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**
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**
14. If prompted, replace any existing files
**Notes:**