CentOS7安装nvidia-docker2

子车俊哲
2023-12-01

1.安装docker-ce

    因为nvidia-docker2依赖docker-ce,所以得先安装docker-ce。

 1.1 如果主机上已经安装了docker,则先运行如下命令卸载

service docker stop
yum remove docker

 1.2 安装yum管理依赖包

sudo yum install -y yum-utils device-mapper-persistent-data lvm2

 1.3添加docker-ce仓库命令

sudo yum-config-manager --add-repo https://download.docker.com/linux/centos/docker-ce.repo

如果报以下错误

 sudo yum-config-manager --add-repo  https://download.docker.com/linux/centos/docker-ce.repo
  File "/bin/yum-config-manager", line 135
    except yum.Errors.RepoError, e:
                               ^
SyntaxError: invalid syntax

 则运行如下命令修改/bin/yum-config-manager中的配置

vi /bin/yum-config-manager

 按下 i 字母

把文件开头 #!/usr/bin/python  -tt  改为  #!/usr/bin/python2  -tt

 再按下esc键,键入:wq!保存。最后再次执行添加docker-ce仓库命令

1.4 运行如下安装docker-ce命令

sudo yum install docker-ce docker-ce-cli containerd.io

如果报以下错误 

Transaction check error:
  file /usr/bin/docker from install of docker-ce-cli-1:19.03.8-3.el7.x86_64 conflicts with file from package docker-common-2:1.13.1-109.gitcccb291.el7.centos.x86_64
  file /usr/bin/dockerd from install of docker-ce-3:19.03.8-3.el7.x86_64 conflicts with file from package docker-common-2:1.13.1-109.gitcccb291.el7.centos.x86_64

Error Summary

则先运行如下命令删除docker残余的组件

sudo yum erase docker-common-2:1.13.1-109.gitcccb291.el7.centos.x86_64

再次运行安装docker-ce命令

1.5 开机启动/启动/查看状态 

systemctl enable docker    // 设置开机启动
systemctl start docker    // 启动docker
systemctl status docker   //查看状态

2.安装nvidia-docker2

2.1设置仓库

distribution=$(. /etc/os-release;echo $ID$VERSION_ID)
curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.repo | \
  sudo tee /etc/yum.repos.d/nvidia-docker.repo

2.2更新仓库中的key

DIST=$(sed -n 's/releasever=//p' /etc/yum.conf)
DIST=${DIST:-$(. /etc/os-release; echo $VERSION_ID)}
sudo yum makecache

2.3安装nvidia-docker2

sudo yum install nvidia-docker2

sudo systemctl restart docker

2.4 重新载入docker daemon的设定

sudo pkill -SIGHUP dockerd

2.5 测试是否安装成功

docker run --runtime=nvidia --rm nvidia/cuda nvidia-smi

第一次运行会花几分钟下载组件,最后显示如下结果则表示安装成功

docker run --runtime=nvidia --rm nvidia/cuda nvidia-smi
Wed Mar 25 04:58:46 2020       
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 418.87.00    Driver Version: 418.87.00    CUDA Version: 10.1     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|===============================+======================+======================|
|   0  GeForce RTX 208...  Off  | 00000000:1A:00.0 Off |                  N/A |
| 16%   26C    P8     1W / 250W |      0MiB / 10989MiB |      0%      Default |
+-------------------------------+----------------------+----------------------+

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