ubuntu18.04配置cuda+cudnn+anconda+pytorch-gpu+pycharm

一、显卡驱动安装

执行nvidia-smi查看安装情况

二、cuda安装
cuda官网下载cuda_11.6.2_510.47.03_linux.run，安装执行

sudo sh cuda_11.6.2_510.47.03_linux.run

提升安装项，驱动不用安装，即第一项（Driver），按空格键取消，接下选在Install进行安装
修改环境变量

sudo gedit ~/.bashrc

在最后添加

# Add the related bin and lib for cuda toolkit
export PATH="/usr/local/cuda-11.6/bin:$PATH"
export LD_LIBRARY_PATH="/usr/local/cuda-11.6/lib64:$LD_LIBRARY_PATH"

更新环境

source ~/.bashrc

三、安装cudnn
cudnn官网下载cudnn-local-repo-ubuntu1804-8.9.5.30_1.0-1_amd64.deb，安装

sudo dpkg -i cudnn-local-repo-ubuntu1804-8.9.5.30_1.0-1_amd64.deb

查看安装情况

nvcc -V

四、anconda安装
下载Anaconda3-2021.04-Linux-x86_64.sh进行安装

sudo sh Anaconda3-2021.04-Linux-x86_64.sh

如果想关闭默认环境，执行

If you'd prefer that conda's base environment not be activated on startup, 
   set the auto_activate_base parameter to false: 

conda config --set auto_activate_base false

五、pytorch-gpu安装
安装链接，执行

pip install torch==1.13.0+cu116 torchvision==0.14.0+cu116 torchaudio==0.13.0 --extra-index-url https://download.pytorch.org/whl/cu116

六、pycharm安装
下载并安装
添加快捷方式

sudo gedit /usr/share/applications/pycharm.desktop

[Desktop Entry]
Version=1.0
Name=Pycharm Community Edition
Comment=Python IDE for Professional Developers
Exec=/xxx/pycharm/bin/pycharm.sh
Icon=/xxx/pycharm/bin/pycharm.png
Terminal=false
StartupNotify=true
StartupWMClass=jetbrains-pycharm-ce
Type=Application
Categories=Development;IDE;Python;

执行

sh /xxx/pycharm/bin/pycharm.sh

运行pycharm应用

环境添加选在python3.xx