介绍

CentOS下安装nvidia+cuda+cudnn

NVIDIA驱动

1. 去NVIDIA官网下载合适版本驱动，

2. 安装lspci，使用下面命令，找寻lspci，发现在pciutils中，故安装pciutils

   yum whatprovides */lspci
   yum install pciutils 
   

3. 检查是否安装了NVIDIA的GPU（硬件层面）：lspci | grep -i nvidia

4. 安装kernel-devel和kernel-headers

   sudo yum install kernel-devel
   sudo yum install kernel-headers
   

5. 赋予运行权限chmod a+x NVIDIA-Linux-x86_64-410.78.run

6. 禁用nouveau

   # 打开配置文件：
   vi /usr/lib/modprobe.d/dist-blacklist.conf
   # 加上或修改 两行
   blacklist nouveau
   options nouveau modeset=0
   查看nouveau是否禁用, 如果没有输出代表成功
   lsmod | grep nouveau 
   

7. 可选

   备份原来的 initramfs nouveau image镜像
   mv /boot/initramfs-$(uname -r).img /boot/initramfs-$(uname -r)-nouveau.img  
   创建新的 initramfs image镜像
   dracut /boot/initramfs-$(uname -r).img  $(uname -r)  
   

8. 安装

   运行命令
   sudo ./NVIDIA-Linux-x86_64-410.78.run
   如果报错，则使用
   sudo ./Nvidia*.sh --kernel-source-path=/usr/src/kernels/按TAB补全
   

CUDA

1. 去这里选择合适版本下载

2. 赋予运行权限chmod a+x cuda_10.0.130_410.48_linux.run

3. 安装sudo ./cuda_10.0.130_410.48_linux.run

   1. 会先有个阅读声明，一直按D，然后accept。 
   2. 很多选项
       Install NVIDIA Accelerated Graphics Driver for Linux-x86_64 410.48?
       (y)es/(n)o/(q)uit: n
       Install the CUDA 10.0 Toolkit?
       (y)es/(n)o/(q)uit: y
       Enter Toolkit Location
       [ default is /usr/local/cuda-10.0 ]: 
       Do you want to install a symbolic link at /usr/local/cuda?
       (y)es/(n)o/(q)uit: y
       Install the CUDA 10.0 Samples?
       (y)es/(n)o/(q)uit: n
   
       选项install the OpenGL libraries,如果双显卡(集显+独显)选择n，如果只有独显可以选择y，如果双显卡选择y的话，会出现黑屏或者循环登录的问题，如果加了上面的参数就不会出现这个选项了。 
   
   3. 安装过程结束后会有以下信息：
       ===========
       = Summary =
       ===========
       Driver:   Not Selected
       Toolkit:  Installed in /usr/local/cuda-10.0
       Samples:  Not Selected
   
       Please make sure that
       -   PATH includes /usr/local/cuda-10.0/bin
       -   LD_LIBRARY_PATH includes /usr/local/cuda-10.0/lib64, or, add /usr/local/cuda-10.0/lib64 to /etc/ld.so.conf and run ldconfig as root
   
       To uninstall the CUDA Toolkit, run the uninstall script in /usr/local/cuda-10.0/bin
   
       Please see CUDA_Installation_Guide_Linux.pdf in /usr/local/cuda-10.0/doc/pdf for detailed information on setting up CUDA.
   
       ***WARNING: Incomplete installation! This installation did not install the CUDA Driver. A driver of version at least 384.00 is required for CUDA 10.0 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 -driver
   
       Logfile is /tmp/cuda_install_11482.log
   

4. 将cuda的bin文件和lib导出到系统环境中，版本不一样则更换其中cuda-x.x

   export PATH="/usr/local/cuda-10.0/bin:$PATH" 
   export LD_LIBRARY_PATH="/usr/local/cuda-10.0/lib64:$LD_LIBRARY_PATH"
   或者
   vi ~/.bashrc
   export PATH="/usr/local/cuda-10.0/bin:$PATH" 
   export LD_LIBRARY_PATH="/usr/local/cuda-10.0/lib64:$LD_LIBRARY_PATH"
   source ~/.bashrc
   

5. 测试：如果下面测试的最后结果都是Result = PASS，说明CUDA安装成功啦。

   1. 如果成功会输出版本信息nvcc –V

   2. 编译并测试设备 deviceQuery：

      cd /usr/local/cuda-9.2/samples/1_Utilities/deviceQuery
      sudo make
      ./deviceQuery
      

   3. 编译并测试带宽 bandwidthTest：

      cd ../bandwidthTest
      sudo make
      ./bandwidthTest
      

6. 其他
   所需的libcudart.so.8.0如果正确安装的话，以下两种方法同理：

   1. sudo ldconfig /usr/local/cuda-8.0/lib64
   2. export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda-8.0/lib64
   3. 如果仍然不行，再尝试执行:

   export PATH=\$PATH:/usr/local/cuda-8.0/bin 
   export LIBRARY_PATH=$LIBRARY_PATH:/usr/local/cuda-8.0/lib64 
   source /etc/profile 
   

   1. 此时会显示/sbin/ldconfig.real: /usr/local/cuda-8.0/lib64/libcudnn.so.6 不是符号连接。不用担心，这时已经解决问题了。

安装cudnn

参考：https://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html

1. 去这里下载相应版本

2. 解压
   tar -xzvf cudnn-10.0-linux-x64-v7.tgz

3. 复制

   cp include/cudnn.h /usr/local/cuda-10.0/include/
   cp lib64/libcudnn* /usr/local/cuda-10.0/lib64/
   

4. 授权
   sudo chmod a+r /usr/local/cuda-10.0/include/cudnn.h /usr/local/cuda-10.0/lib64/libcudnn*