: 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
: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
To confirm the installation was successful, check if the cuDNN version is correctly identified in your system files: :If you don't have it yet, you can
:Open your terminal and navigate to the download folder. Use the following command to extract the .tgz file: tar -xzvf cudnn-11.2-linux-x64-v8.1.1.33.tgz Use code with caution. Copied to clipboard
:You need to move the header and library files into your system's CUDA installation (usually located at /usr/local/cuda-11.2/ ). Run these commands with sudo :