Do you need help to a specific framework like TensorFlow or PyTorch? Installing cuDNN Backend on Windows
: 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
: 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. Do you need help to a specific framework
To confirm the installation was successful, check if the cuDNN version is correctly identified in your system files: 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