nvidia-docker2安装步骤

一：安装驱动
[root@localhost home]# chmod 755 NVIDIA-Linux-x86_64-515.48.07.run cuda_10.2.89_440.33.01_linux.run
## 文件去nvidia官网下载https://www.nvidia.cn/Download/index.aspx?lang=cn
[root@localhost home]# ./NVIDIA-Linux-x86_64-515.48.07.run

[root@localhost home]# nvidia-smiTue Nov 29 16:51:53 2022+-----------------------------------------------------------------------------+| NVIDIA-SMI 515.48.07    Driver Version: 515.48.07    CUDA Version: 11.7     ||-------------------------------+----------------------+----------------------+| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC || Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. ||                               |                      |               MIG M. ||===============================+======================+======================||   0  NVIDIA GeForce ...  Off  | 00000000:01:00.0 Off |                  N/A || 44%   45C    P0   111W / 350W |      0MiB / 24576MiB |      0%      Default ||                               |                      |                  N/A |+-------------------------------+----------------------+----------------------+|   1  NVIDIA GeForce ...  Off  | 00000000:02:00.0 Off |                  N/A || 45%   49C    P0   105W / 350W |      0MiB / 24576MiB |      0%      Default ||                               |                      |                  N/A |+-------------------------------+----------------------+----------------------++-----------------------------------------------------------------------------+| Processes:                                                                  ||  GPU   GI   CI        PID   Type   Process name                  GPU Memory ||        ID   ID                                                   Usage      ||=============================================================================||  No running processes found                                                 |+-----------------------------------------------------------------------------+

二：安装cuda10.2
[root@localhost home]# ./cuda_10.2.89_440.33.01_linux.run
## 文件去nvidia官网下载https://developer.nvidia.com/cuda-10.2-download-archive
[root@localhost home]# vim ~/.bashrc
export PATH=/usr/local/cuda-10.2/binKaTeX parse error: Expected '}', got 'EOF' at end of input: {PATH:+:{PATH}}
export LD_LIBRARY_PATH=/usr/local/cuda-10.2/lib64KaTeX parse error: Expected '}', got 'EOF' at end of input: …LIBRARY_PATH:+:{LD_LIBRARY_PATH}}

[root@localhost home]# source ~/.bashrc[root@localhost home]# nvcc -Vnvcc: NVIDIA (R) Cuda compiler driverCopyright (c) 2005-2019 NVIDIA CorporationBuilt on Wed_Oct_23_19:24:38_PDT_2019Cuda compilation tools, release 10.2, V10.2.89

三：安装cudnn8.3.3
[root@localhost home]# tar -xvf cudnn-linux-x86_64-8.3.3.40_cuda10.2-archive.tar.xz

[root@localhost home]# cd cudnn-linux-x86_64-8.3.3.40_cuda10.2-archive/[root@localhost cudnn-linux-x86_64-8.3.3.40_cuda10.2-archive]# cp include/cudnn*.h /usr/local/cuda/include[root@localhost cudnn-linux-x86_64-8.3.3.40_cuda10.2-archive]# cp -P lib/libcudnn* /usr/local/cuda/lib64[root@localhost cudnn-linux-x86_64-8.3.3.40_cuda10.2-archive]# chmod a+r /usr/local/cuda/include/cudnn*.h /usr/local/cuda/lib64/libcudnn*[root@localhost cudnn-linux-x86_64-8.3.3.40_cuda10.2-archive]# cat /usr/local/cuda/include/cudnn*.h | grep CUDNN_MAJOR -A 2

四：nvidia-docker2安装
##文档链接https://download.csdn.net/download/weixin_45187975/87252440
[root@localhost home]# mv /etc/yum.repos.d/openEuler.repo /etc/yum.repos.d/openEuler.repo.bak

[root@localhost home]# mv repo/local.repo /etc/yum.repos.d/[root@localhost home]# mkdir /opt/nvidia-docker2[root@localhost home]# cp -R nvidia-docker2/* /opt/nvidia-docker2[root@localhost home]# yum makecache[root@localhost home]# yum install nvidia-docker2[root@localhost home]# systemctl start docker

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