1.下载CUDA:https://developer.nvidia.com/cuda-toolkit-archive (如果已经安装了N卡驱动,最好用.deb,如果没有安装,可以用.run)

2.根据官网提示安装CUDA

添加配置:

export PATH=$PATH:/usr/local/cuda/bin
export LD_LIBRARY_PATH=/usr/local/cuda/lib64:$LD_LIBRARY_PATH
export CUDA_ROOT=/usr/local/cuda/
export LD_LIBRARY_PATH=/opt/cudnn/lib64:$LD_LIBRARY_PATH
export LIBRARY_PATH=$LIBRARY_PATH:/opt/cudnn/lib64
export CPATH=$CPATH:/opt/cudnn/include

 

  

3.下载Cudnn: https://developer.nvidia.com/rdp/cudnn-download

4.执行sudo dpkg -i libcudnn7-dev_7.0.3.11-1+cuda9.0_amd64.deb (更多安装方法:https://developer.nvidia.com/compute/machine-learning/cudnn/secure/v7.0.5/prod/Doc/cuDNN-Developer-Guide)

 

安装Nvidia驱动:http://www.cnblogs.com/huangshiyu13/p/8970602.html

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