sudo chmod a+r /usr/local/cuda/include/cudnn*.h /usr/local/cuda/lib64/libcudnn* Use code with caution. Copied to clipboard Verification
To install the cudnn-11.2-linux-x64-v8.1.1.33.tgz library on Linux, you need to extract the archive and copy its contents into your existing CUDA Toolkit directory. This specific version is designed for on 64-bit Linux systems. Prerequisites 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 chmod a+r /usr/local/cuda/include/cudnn*
This will create a directory named cuda containing include and lib64 subdirectories. cudnn-11.2-linux-x64-v8.1.1.33.tgz
: Ensure /usr/local/cuda/lib64 is in your LD_LIBRARY_PATH environment variable so your software can find the libraries.
: Look for the version definition in cudnn_version.h :