1. 执行nvcc -V, cuda版本位11.5

2. 删除cuda

   sudo apt-get --purge remove "*cublas*" "*cufft*" "*curand*" \\"*cusolver*" "*cusparse*" "*npp*" "*nvjpeg*" "cuda*" "nsight*"
   

3. 选择对应版本的cuda,下载WSl版本的cuda

4. 执行上部分命令是正常

5. 执行sudo apt-key add /var/cuda-repo-wsl-ubuntu-11-1-local/7fa2af80.pub时，虽然warning了，但是最后还是ok了

   

6. 执行sudo apt-get update时会报错

7. 解决，执行如下命令, A4B469963BF863CC根据自己上面出现的NO_PUBKEY填写 GPG error解决方法 - 知乎 (zhihu.com)

    sudo gpg --keyserver keyserver.ubuntu.com --recv A4B469963BF863CCsudo gpg --export --armor A4B469963BF863CC | sudo apt-key add -
   

8. 再次执行sudo apt-get update,虽然都是warning,但好像也成功了

9. 执行sudo apt-get -y install cuda

10. 安装完成之后，nvcc -V是显示不出cuda版本的，cuda路径在/usr/local/cuda下

11. 添加路径

    export PATH=/usr/local/cuda/bin:$PATH
    export LD_LIBRARY_PATH=/usr/local/cuda/lib64:$LD_LIBRARY_PAT
    

再使用su命令切换到root用户下执行添加完路径之后，使用 `source ~/.bashrc` 刷新环境， 运行 `nvcc -V`

12. 不知道咋回事按照11.1的步骤安装最后是12.1

    

    删除cuda

    there are two things- nvidia drivers and cuda toolkit- which you may want to remove. If you have installed using apt-get use the following to remove the packages completely from the system:

    To remove cuda toolkit:

    sudo apt-get --purge remove "*cublas*" "cuda*" "nsight*" 
    

    To remove Nvidia drivers:

    sudo apt-get --purge remove "*nvidia*"
    

    If you have installed via source files (assuming the default location to be /usr/local) then remove it using:

    sudo rm -rf /usr/local/cuda*
    

    From cuda 11.4 onwards, an uninstaller script has been provided. Use it for the uninstallation instead:

    # To uninstall cuda
    sudo /usr/local/cuda-11.4/bin/cuda-uninstaller 
    # To uninstall nvidia
    sudo /usr/bin/nvidia-uninstall
    

    If you get the problem of broken packages, it has happened since you added repo to the apt/sources.lst. Run the following to delete it:

    sudo vim /etc/apt/sources.list
    

    Go to the line containing reference to Nvidia repo and comment it by appending # in front of the line, for e.g.:

    #deb http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/ /
    

    Then run

    sudo apt-get update 
    

    This will fix the problem.

    References: Nvidia uninstallation

13. 再尝试使用runfile安装， 执行sudo sh cuda_11.1.0_455.23.05_linux.run,会出现

    

    查看对应的文件，会有

    

14. 加上override参数之后，继续安装

15. 还是11.5版本

    

16. 卸载再次重新安装，

    sudo apt-get --purge remove "*cublas*" "cuda*" "nsight*" 
    sudo apt-get --purge remove "*nvidia*"
    sudo rm -rf /usr/local/cuda*
    

17. 安装过程出现了

    

    

18. 放弃，还是安装runfile版本

19. 降低gcc版本， 出现错误E: Package ‘g+±7’ has no installation candidate

20. 更换源

    要在vim中清空文本，可以按下ESC键退出编辑模式，然后按两次g键将光标移动到文本的首行，最后按下d和G键，其中d键是小写，G键要切换成大写的，

    # 修改 apt-get 源的配置文件
    sudo cp /etc/apt/sources.list /etc/apt/sources.list.bak #备份
    sudo vim /etc/apt/sources.list #修改deb http://mirrors.aliyun.com/ubuntu/ focal main restricted universe multiverse
    deb-src http://mirrors.aliyun.com/ubuntu/ focal main restricted universe multiversedeb http://mirrors.aliyun.com/ubuntu/ focal-security main restricted universe multiverse
    deb-src http://mirrors.aliyun.com/ubuntu/ focal-security main restricted universe multiversedeb http://mirrors.aliyun.com/ubuntu/ focal-updates main restricted universe multiverse
    deb-src http://mirrors.aliyun.com/ubuntu/ focal-updates main restricted universe multiverse# deb http://mirrors.aliyun.com/ubuntu/ focal-proposed main restricted universe multiverse
    # deb-src http://mirrors.aliyun.com/ubuntu/ focal-proposed main restricted universe multiversedeb http://mirrors.aliyun.com/ubuntu/ focal-backports main restricted universe multiverse
    deb-src http://mirrors.aliyun.com/ubuntu/ focal-backports main restricted universe multiverse#最后执行
    sudo apt-get update
    

    

21. 再次安装g++7，降低gcc版本，以便安装cuda

    首先Ubuntu 20.04默认g++9版本太高，会导致CUDA无法安装，因此要先降低g++版本。

    sudo apt-get install gcc-7 g++-7sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-7 9
    sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-9 1sudo update-alternatives --display gccsudo update-alternatives --install /usr/bin/g++ g++ /usr/bin/g++-7 9
    sudo update-alternatives --install /usr/bin/g++ g++ /usr/bin/g++-9 1sudo update-alternatives --display g++
    

22. 降低g++版本之后，可以正常执行 sudo sh cuda_11.1.0_455.23.05_linux.run

    

23. 安装完成后显示

    

24. 终于正常安装cuda 11.1了，虽然nvidia-smi显示和nvcc -V显示的版本不同，以nvcc -V为主

25. /usr/local目录下也有了 cuda目录

    

26. 把之前在root和wu用户中修改的vim ~/.bashrc删除

27. 更新可执行文件路径,在 vim ~/.bashrc中加入,如果不在 ~/.bashrc中加入的话，下次启动还是找不到cuda

    export PATH=/usr/local/cuda-11.1/bin${PATH:+:${PATH}}
    

28. 更新动态链接库路径

    export LD_LIBRARY_PATH=/usr/local/cuda-11.1/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}
    

29. 安装1.8.1版本的torch https://pytorch.org/get-started/previous-versions/

    # CUDA 11.1
    pip install torch==1.8.1+cu111 torchvision==0.9.1+cu111 torchaudio==0.8.1 -f https://download.pytorch.org/whl/torch_stable.html
    

30. 然后安装torch-geometric, 根据torch和cuda版本选择，

    

31. 安装顺序为 torch-scatter2.0.8，torch-sparse0.6.12，torch-cluster1.5.9，torch-spline-conv1.2.1，torch-geometric==1.7.0，我的python版本为3.6， wsl(linux)

32. 使用nvcc -V命令，发现没有了，原因更改了 /etc/apt/sources.list can’t install nvidia-driver-toolkit on Ubuntu 20.04 LTS - needs uninstallable package - Ask Ubuntu

    方法：在/etc/apt/sources.list中添加

    deb http://archive.ubuntu.com/ubuntu/ focal main restricted universe multiverse
    deb-src http://archive.ubuntu.com/ubuntu/ focal main restricted universe multiversedeb http://archive.ubuntu.com/ubuntu/ focal-updates main restricted universe multiverse
    deb-src http://archive.ubuntu.com/ubuntu/ focal-updates main restricted universe multiversedeb http://archive.ubuntu.com/ubuntu/ focal-security main restricted universe multiverse
    deb-src http://archive.ubuntu.com/ubuntu/ focal-security main restricted universe multiverse
    

    执行

    sudo apt-cache policy
    sudo apt-get --purge remove "*cublas*" "cuda*" "*nvidia*"
    sudo apt-get clean
    sudo apt-get autoremove
    sudo apt-get update
    sudo apt-get upgrade
    sudo apt-get install nvidia-cuda-toolkit