CentOS nvidia+cuda+cudnn 安装

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，寻找lspci，发现在pciutils中，故安装pciutils

   yum whatprovides */lspci
   yum install pciutils 
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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：使用uname -r查看内核版本，去这个网站下载与你内核匹配的kernel-headers，去这个网站下载与你内核匹配的kernel-devel，可以前往/usr/src/kernels/目录查看安装的kernel版本，使用yum -y install gcc gcc-c++安装gcc
5. 赋予第一步下载的驱动运行权限：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
   # 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) 
   # 重启
   reboot
   # 查看nouveau是否禁用, 如果没有输出代表成功
   lsmod | grep nouveau 
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7. 安装

   # 运行
   ./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
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CUDA

1. 去英伟达官网下载合适的CUDA，如果官网只提供了最新版，可以使用谷歌搜索CUDA Toolkit x.x进入官网下载
2. 赋予下载文件运行权限chmod a+x cuda_10.0.130_410.48_linux.run
3. 安装./cuda_10.0.130_410.48_linux.run

   1. 会先有个阅读声明，需要输入accept
   2. 一直按↓，选择install安装
   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
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4. 将cuda的bin文件和lib导出到系统环境中，注意更换其中的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
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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
   make
   ./deviceQuery
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   3）编译并测试带宽 bandwidthTest：

   cd ../bandwidthTest
   make
   ./bandwidthTest
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6. 所需的libcudart.so.8.0如果正确安装的话，以下两种方法同理：
   1）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 
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   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。

cudnn

1. 去这里下载cuDNN Library for Linux (x86_64)
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/
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4. 授权
   chmod a+r /usr/local/cuda-10.0/include/cudnn.h /usr/local/cuda-10.0/lib64/libcudnn*

参考