https://mirrors.tuna.tsinghua.edu.cn/help/ubuntu/
# 默认注释了源码镜像以提高 apt update 速度，如有需要可自行取消注释deb https://mirrors.tuna.tsinghua.edu.cn/ubuntu/ focal main restricted universe multiverse# deb-src https://mirrors.tuna.tsinghua.edu.cn/ubuntu/ focal main restricted universe multiversedeb https://mirrors.tuna.tsinghua.edu.cn/ubuntu/ focal-updates main restricted universe multiverse# deb-src https://mirrors.tuna.tsinghua.edu.cn/ubuntu/ focal-updates main restricted universe multiversedeb https://mirrors.tuna.tsinghua.edu.cn/ubuntu/ focal-backports main restricted universe multiverse# deb-src https://mirrors.tuna.tsinghua.edu.cn/ubuntu/ focal-backports main restricted universe multiverse# deb https://mirrors.tuna.tsinghua.edu.cn/ubuntu/ focal-security main restricted universe multiverse# # deb-src https://mirrors.tuna.tsinghua.edu.cn/ubuntu/ focal-security main restricted universe multiversedeb http://security.ubuntu.com/ubuntu/ focal-security main restricted universe multiverse# deb-src http://security.ubuntu.com/ubuntu/ focal-security main restricted universe multiverse更新软件列表和必要的依赖项
sudo apt-get update# 更新软件列表sudo apt-get install g++# 下载g++编译器sudo apt-get install gcc# 下载gcc编译器sudo apt-get install make# 下载GNU Make编译器sudo apt-get install initramfs-tools # 下载安装initramfs-tools 2. 安装CUDA步骤一： 下载CUDA安装包
进行CUDA和cuDNN的选择，也可以直接根据官方推荐进行下载安装。从Nvidia官网下载CUDA https://developer.nvidia.com/cuda-downloads 下方链接，选择更多版本 https://developer.nvidia.com/cuda-toolkit-archive 接下来根据提示进行下载、安装 wget https://developer.download.nvidia.com/compute/cuda/11.8.0/local_installers/cuda_11.8.0_520.61.05_linux.runsudo sh cuda_11.8.0_520.61.05_linux.run步骤二： 安装CUDA安装包过程中的选择
Do you accept the above EULA? (accept / decline / quit): 是否接受最终用户许可协议，输入accept
回车键进行勾选，X就是选中，没有X就是没有选中，把安装驱动进行取消。之后向下键，回车确认
最后点击 install
出现了警告信息，对安装无影响
截图日志：
wit622@622:~/cuda$ sudo sh cuda_11.8.0_520.61.05_linux.run[sudo] wit622 的密码： ============ Summary ============Driver: Not SelectedToolkit: Installed in /usr/local/cuda-11.8/Please make sure that- PATH includes /usr/local/cuda-11.8/bin- LD_LIBRARY_PATH includes /usr/local/cuda-11.8/lib64, or, add /usr/local/cuda-11.8/lib64 to /etc/ld.so.conf and run ldconfig as rootTo uninstall the CUDA Toolkit, run cuda-uninstaller in /usr/local/cuda-11.8/bin***WARNING: Incomplete installation! This installation did not install the CUDA Driver. A driver of version at least 520.00 is required for CUDA 11.8 functionality to work.To install the driver using this installer, run the following command, replacing <CudaInstaller> with the name of this run file:sudo <CudaInstaller>.run --silent --driverLogfile is /var/log/cuda-installer.log也可以进入日志进行查看（位置如下）：
/var/log/cuda-installer.log步骤三： 配置CUDA环境
sudo vim ~/.bashrc 在bashrc文件最下方，添加下入代码（ps：这边需要注意cuda的版本，版本不同，路径的命名需修改） export PATH=$PATH:/usr/local/cuda-11.8/binexport LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda-11.8/lib64 更新环境 source ~/.bashrc 测试CUDA是否安装成功 nvcc -V输出下述结果，表示安装成功:
wit622@622:~/cuda$ nvcc -Vnvcc: NVIDIA (R) Cuda compiler driverCopyright (c) 2005-2022 NVIDIA CorporationBuilt on Wed_Sep_21_10:33:58_PDT_2022Cuda compilation tools, release 11.8, V11.8.89Build cuda_11.8.r11.8/compiler.31833905_0 3. 安装cuDNN步骤一：下载cuDNN包
https://developer.nvidia.com/rdp/cudnn-archive
例如这边选择了Download cuDNN v8.8.1 (March 8th, 2023), for CUDA 11.x点击Local Installer for Linux x86_64 (Tar)即可下载压缩包 将压缩包，放入自定义路径后，输入命令进行解压 tar -xvf cudnn-linux-x86_64-8.8.1.3_cuda11-archive.tar.xz 解压后，输入命令，讲cuDNN对应文件拷贝至CUDA指定路径。 wit622@622:~/下载$ cd cudnn-linux-x86_64-8.8.1.3_cuda11-archive/wit622@622:~/下载/cudnn-linux-x86_64-8.8.1.3_cuda11-archive$ lsinclude lib LICENSE sudo cp include/cudnn*.h /usr/local/cuda-11.8/includesudo cp lib/libcudnn* /usr/local/cuda-11.8/lib64sudo chmod a+r /usr/local/cuda-11.8/include/cudnn*.h /usr/local/cuda-11.8/lib64/libcudnn* 4. CUDA版本切换因为后续部分项目，用的库对应的CUDA不同，无需进行修改，修改环境CUDA路径即可。例如需要11.1的CUDA，可通过修改bashrc进行修改
sudo vim ~/.bashrc将原先的cuda-11.8注释掉，添加cuda-11.1新的环境设置，即可
# cuda-11.8# export PATH=$PATH:/usr/local/cuda-11.8/bin# export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda-11.8/lib64# cuda-11.1export PATH=$PATH:/usr/local/cuda-11.1/binexport LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda-11.1/lib64
