2023.08.19 更新
如果是python中使用pytorch，不需要单独安装cuDNN，pytorch中已经集成了。
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WSL2 Ubuntu中安装cuDNN，还得注册
cuDNN是啥？
安装文档
https://docs.nvidia.com/deeplearning/cudnn/install-guide/index.html#installlinux-deb
Ubuntu算是debian系吧
下载
https://developer.nvidia.com/rdp/cudnn-download
网速不行，下载90%会话超时……
去球吧，不装了……
安装
Download the Debian local repository installation package. Before issuing the following commands, you must replace X.Y and 8.x.x.x with your specific CUDA and cuDNN versions.
- Navigate to your <cudnnpath> directory containing the cuDNN Debian local installer file.
- Enable the local repository.
sudo dpkg -i cudnn-local-repo-${OS}-8.x.x.x_1.0-1_amd64.deb- or
sudo dpkg -i cudnn-local-repo-${OS}-8.x.x.x_1.0-1_arm64.deb- Import the CUDA GPG key.
sudo cp /var/cudnn-local-repo-*/cudnn-local-*-keyring.gpg /usr/share/keyrings/- Refresh the repository metadata.
sudo apt-get update- Install the runtime library.
sudo apt-get install libcudnn8=8.x.x.x-1+cudaX.Y- Install the developer library.
sudo apt-get install libcudnn8-dev=8.x.x.x-1+cudaX.Y- Install the code samples.
sudo apt-get install libcudnn8-samples=8.x.x.x-1+cudaX.Y
