- 执行nvcc -V, cuda版本位11.5

-  删除cuda sudo apt-get --purge remove "*cublas*" "*cufft*" "*curand*" \ "*cusolver*" "*cusparse*" "*npp*" "*nvjpeg*" "cuda*" "nsight*"
-  选择对应版本的cuda,下载WSl版本的cuda 

- 执行上部分命令是正常

-  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 
-  执行 sudo apt-get update时会报错

-  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 A4B469963BF863CC sudo gpg --export --armor A4B469963BF863CC | sudo apt-key add -

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

-  执行 sudo apt-get -y install cuda
-  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

-  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`
-  不知道咋回事按照11.1的步骤安装最后是12.1  删除cudathere 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-uninstallIf 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.listGo 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 updateThis will fix the problem. References: Nvidia uninstallation 
-  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  
-  加上override参数之后,继续安装 

-  还是11.5版本  
-  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*
-  安装过程出现了   
-  放弃,还是安装runfile版本 
-  降低gcc版本, 出现错误E: Package ‘g+±7’ has no installation candidate 

-  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 multiverse deb http://mirrors.aliyun.com/ubuntu/ focal-security main restricted universe multiverse deb-src http://mirrors.aliyun.com/ubuntu/ focal-security main restricted universe multiverse deb 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 multiverse deb 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 
-  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++-7 sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-7 9 sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-9 1 sudo update-alternatives --display gcc sudo update-alternatives --install /usr/bin/g++ g++ /usr/bin/g++-7 9 sudo update-alternatives --install /usr/bin/g++ g++ /usr/bin/g++-9 1 sudo update-alternatives --display g++
-  降低g++版本之后,可以正常执行 sudo sh cuda_11.1.0_455.23.05_linux.run 
-  安装完成后显示  
-  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 

-  /usr/local目录下也有了 cuda目录  
-  把之前在root和wu用户中修改的vim ~/.bashrc删除 
-  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}}
-  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}}
-  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
-  然后安装torch-geometric, 根据torch和cuda版本选择,  
-  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) 
-  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 multiverse deb http://archive.ubuntu.com/ubuntu/ focal-updates main restricted universe multiverse deb-src http://archive.ubuntu.com/ubuntu/ focal-updates main restricted universe multiverse deb 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

















