參考：

前提：CUDA 10.0 已經安裝完成！！

1、下載cuDNN：

選擇其他版本：

下載後，解壓，直接將對應標頭檔案和庫拷貝到CUDA的安裝目錄即可，記得修改庫檔案的檔案許可權

1. Unzip the cuDNN package.

   $ tar -xzvf cudnn-9.0-linux-x64-v7.tgz

2. Copy the following files into the CUDA Toolkit directory, and change the file permissions.

   $ sudo cp cuda/include/cudnn.h /usr/local/cuda/include

   $ sudo cp cuda/lib64/libcudnn* /usr/local/cuda/lib64

   $ sudo chmod 777 /usr/local/cuda/include/cudnn.h /usr/local/cuda/lib64/libcudnn*

3、測試cuDNN

1. Copy the cuDNN sample to a writable path.

   $sudo cp -r /usr/src/cudnn_samples_v7/ ~/

2. Go to the writable path.

   $ cd ~/cudnn_samples_v7/mnistCUDNN

3. Compile the mnistCUDNN sample.

   $sudo make clean && make

4. Run the mnistCUDNN sample.

   $ ./mnistCUDNN

   If cuDNN is properly installed and running on your Linux system, you will see a message similar to the following:如果安裝成功 測試完成後顯示：

   Test passed!