ubuntu

下载地址

https://developer.nvidia.com/rdp/cudnn-download

安装教程

http://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html#axzz4qYJp45J2

 

  1. Navigate to your<cudnnpath>directory containing cuDNN Debian file.
  2. Install the runtime library, for example: 
    sudo dpkg -i libcudnn7_7.0.3.11-1+cuda9.0_amd64.deb
  3. Install the developer library, for example: 
    sudo dpkg -i libcudnn7-dev_7.0.3.11-1+cuda9.0_amd64.deb
  4. Install the code samples and the cuDNN Library User Guide, for example: 
    sudo dpkg -i libcudnn7-doc_7.0.3.11-1+cuda9.0_amd64.deb

To verify that cuDNN is installed and is running properly, compile the mnistCUDNN sample located in the/usr/src/cudnn_samples_v7directory in the debian file.

  1. Copy the cuDNN sample to a writable path. 
    $cp -r /usr/src/cudnn_samples_v7/ $HOME
  2. Go to the writable path. 
    $ cd  $HOME/cudnn_samples_v7/mnistCUDNN
  3. Compile the mnistCUDNN sample. 
    $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: 
    Test passed!