1. 卸载原CUDA版本
https://blog.youkuaiyun.com/u012074597/article/details/80317275?utm_source=blogxgwz2
这里以CUDA10卸载为例子
sudo apt-get autoremove --purge cuda
sudo dpkg -l |grep cuda
sudo dpkg -P cuda-repo-ubuntu1604-10-1-local_10.1.85-1_amd64
sudo apt-key list
sudo apt-key del 7fa2af80
2. 下载新CUDA 8.0
https://developer.nvidia.com/cuda-80-ga2-download-archive
运行三条安装命令即可
安装完成后
sudo gedit ~/.bashrc
在文件末尾添加
export PATH=/usr/local/cuda-8.0/bin:$PATH
export LD_LIBRARY_PATH=/usr/local/cuda-8.0/lib64:$LD_LIBRARY_PATH
再运行
source ~/.bashrc
3. 下载安装CUDNN
https://developer.nvidia.com/rdp/cudnn-archive
我选择的是for Linux
下载完成后解压
tar xvzf cudnn-8.0-linux-x64-v6.0-ga.tgz
然后
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*
4. 重新安装Tensorflow
pip uninstall tensorflow-gpu
pip install tensorflow-gpu==1.3.0
安装完成