docker一般使用

2019-04-23

Docker介绍

Docker是一个虚拟环境容器，可以将你的开发环境、代码、配置文件等一并打包到这个容器中，并发布和应用到任意平台中。

Docker安装

docker安装见docker官网安装指南

Post-installation steps for Linux

以非root用户管理docker

docker命令默认以root权限运行，可以创建一个名为docker的unix组并添加新用户。当docker守护进程启动时，它创建了一个可以被docker组成员访问的unix套接字，这样可以通过组成员来运行docker命令。

  1. 创建docker组 
    sudo groupadd docker
  2. 给 docker组添加新成员 
    sudo usermod -aG docker $USER

  3. Log out and log back in so that your group membership is re-evaluated.

  4. 验证是否设置成功 
    docker run hello-world

    Note: If you initially ran Docker CLI commands using sudo before adding your user to the docker group, you may see the following error, which indicates that your ~/.docker/ directory was created with incorrect permissions due to the sudo commands.

    WARNING: Error loading config file: /home/user/.docker/config.json -
stat /home/user/.docker/config.json: permission denied

    To fix this problem, either remove the ~/.docker/ directory (it is recreated automatically, but any custom settings are lost), or change its ownership and permissions using the following commands:

    sudo chown "$USER":"$USER" /home/"$USER"/.docker -R
sudo chmod g+rwx "$HOME/.docker" -R

安装nvidia-docker

# If you have nvidia-docker 1.0 installed: we need to remove it and all existing GPU containers
docker volume ls -q -f driver=nvidia-docker | xargs -r -I{} -n1 docker ps -q -a -f volume={} | xargs -r docker rm -f
sudo apt-get purge -y nvidia-docker

# Add the package repositories
curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | \
  sudo apt-key add -
distribution=$(. /etc/os-release;echo $ID$VERSION_ID)
curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.list | \
  sudo tee /etc/apt/sources.list.d/nvidia-docker.list
sudo apt-get update

# Install nvidia-docker2 and reload the Docker daemon configuration
sudo apt-get install -y nvidia-docker2
sudo pkill -SIGHUP dockerd

# Test nvidia-smi with the latest official CUDA image
docker run --runtime=nvidia --rm nvidia/cuda:9.0-base nvidia-smi