: Ensure you have the matching CUDA version installed. You can verify this by running nvcc --version in your terminal.
: This specific build is for CUDA 11.x. While cuDNN 8.x is generally compatible across CUDA 11.x versions, using the exact matching CUDA 11.2 toolkit is recommended for stability with frameworks like TensorFlow 2.6. cudnn-11.2-linux-x64-v8.1.1.33.tgz
:If you don't have it yet, you can typically find it in the NVIDIA cuDNN Archive . Note that you must be logged into an NVIDIA Developer account to access these files. : Ensure you have the matching CUDA version installed
Do you need help to a specific framework like TensorFlow or PyTorch? Installing cuDNN Backend on Windows cudnn-11.2-linux-x64-v8.1.1.33.tgz