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
: 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
Do you need help to a specific framework like TensorFlow or PyTorch? Installing cuDNN Backend on Windows sudo cp cuda/include/cudnn*
: Your GPU drivers must support CUDA 11.2. Check this with the nvidia-smi command. Step-by-Step Installation Guide cudnn-11.2-linux-x64-v8.1.1.33.tgz