Cudnn-11.2-linux-x64-v8.1.1.33.tgz -

Cudnn-11.2-linux-x64-v8.1.1.33.tgz -

You should see values representing , Minor 1 , and Patch 1 . Troubleshooting

sudo cp cuda/include/cudnn*.h /usr/local/cuda/include sudo cp -P cuda/lib64/libcudnn* /usr/local/cuda/lib64 Use code with caution. Copied to clipboard cudnn-11.2-linux-x64-v8.1.1.33.tgz

: Your GPU drivers must support CUDA 11.2. Check this with the nvidia-smi command. Step-by-Step Installation Guide You should see values representing , Minor 1 , and Patch 1

: Ensure you have the matching CUDA version installed. You can verify this by running nvcc --version in your terminal. You should see values representing

Do you need help to a specific framework like TensorFlow or PyTorch? Installing cuDNN Backend on Windows