: Ensure you have the matching CUDA version installed. You can verify this by running nvcc --version in your terminal.
: Ensure /usr/local/cuda/lib64 is in your LD_LIBRARY_PATH environment variable so your software can find the libraries. cudnn-11.2-linux-x64-v8.1.1.33.tgz
cat /usr/local/cuda/include/cudnn_version.h | grep CUDNN_MAJOR -A 2 Use code with caution. Copied to clipboard : 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
: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.