Ubuntu 安装cuDNN

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1.1.下载：

libcudnn7-doc_7.4.2.24-1+cuda10.0_amd64.deb

cudnn-10.0-linux-x64-v7.5.0.56.tgz

1.2 .解压cudnn-10.0-linux-x64-v7.5.0.56.tgz：

tar -xzvf  cudnn-10.0-linux-x64-v7.5.0.56.tgz

执行：

   $ sudo cp cuda/include/cudnn.h /usr/local/cuda/include
    $ sudo cp cuda/lib64/libcudnn* /usr/local/cuda/lib64
    $ sudo chmod a+r /usr/local/cuda/include/cudnn.h /usr/local/cuda/lib64/libcudnn*

1.3.

dpkg -i libcudnn7-doc_7.4.2.24-1+cuda10.0_amd64.deb

1.4.验证：

cp -r /usr/src/cudnn_samples_v7/ $HOME

cd  $HOME/cudnn_samples_v7/mnistCUDNN

make clean && make

./mnistCUDNN

If cuDNN is properly installed and running on your Linux system, you will see a message similar to the following:

Test passed!

参考：https://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html#network-installation

cuda加环境变量：

sudo vim ~/.bashrc

加入：

export PATH="/usr/local/cuda-10.0/bin:$PATH"
export LD_LIBRARY_PATH="/usr/local/cuda-10.0/lib64:$LD_LIBRARY_PATH"
export PATH="/usr/local/cuda/bin:$PATH"
source ~/.bashrc

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来源：CSDN

作者：溪风205

链接：https://blog.csdn.net/xinfeng205/article/details/103808964