Docker GPU 环境安装
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书接上回，继续在 Ubuntu 上安装 Docker 环境
Docker 安装
$ sudo apt-get update$ sudo apt-get install -y apt-transport-https ca-certificates curl software-properties-common采用清华的 tuna 镜像安装 Docker
$ curl -fsSL https://mirrors.tuna.tsinghua.edu.cn/docker-ce/linux/ubuntu/gpg | sudo apt-key add -$ sudo apt-key fingerprint 0EBFCD88$ sudo add-apt-repository "deb [arch=amd64] https://mirrors.tuna.tsinghua.edu.cn/docker-ce/linux/ubuntu $(lsb_release -cs) stable"$ sudo apt-get update$ sudo apt-get install -y docker-ce启动 Docker Domain
$ sudo systemctl enable docker$ sudo systemctl start docker$ sudo usermod -aG docker $USER退出，重新登录
$ docker psCONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES安装 docker-compose
$ sudo curl -L https://github.com/docker/compose/releases/download/1.20.1/docker-compose-`uname -s`-`uname -m` -o /usr/local/bin/docker-compose$ sudo chmod +x /usr/local/bin/docker-compose$ docker-compose --version安装 nvidia-docker
# If you have nvidia-docker 1.0 installed: we need to remove it and all existing GPU containersdocker volume ls -q -f driver=nvidia-docker | xargs -r -I{} -n1 docker ps -q -a -f volume={} | xargs -r docker rm -fsudo apt-get purge -y nvidia-docker# Add the package repositoriescurl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | \ sudo apt-key add -# 请注意这部分和官方文档不一样，没有支持 17.10 的版本，所以安装了 16.04 版本的 nvidia docker
curl -s -L https://nvidia.github.io/nvidia-docker/ubuntu16.04/nvidia-docker.list | \ sudo tee /etc/apt/sources.list.d/nvidia-docker.listsudo apt-get update# Install nvidia-docker2 and reload the Docker daemon configurationsudo apt-get install -y nvidia-docker2sudo pkill -SIGHUP dockerd# Test nvidia-smi with the latest official CUDA imagedocker run --runtime=nvidia --rm nvidia/cuda nvidia-smi验证结果如下：
$ docker run --runtime=nvidia --rm nvidia/cuda nvidia-smiMon Apr 2 04:37:34 2018+-----------------------------------------------------------------------------+| NVIDIA-SMI 384.130 Driver Version: 384.130 ||-------------------------------+----------------------+----------------------+| 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 GTX 1080 Off | 00000000:03:00.0 Off | N/A || 0% 34C P5 22W / 200W | 0MiB / 8114MiB | 0% Default |+-------------------------------+----------------------+----------------------++-----------------------------------------------------------------------------+| Processes: GPU Memory || GPU PID Type Process name Usage ||=============================================================================|| No running processes found |+-----------------------------------------------------------------------------+所需硬件
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