Docker环境配置

1 安装docker

sudo apt-get install docker-ce=18.03.1~ce-0~ubuntu

2 安装nvidia-docker2

# 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 -  
curl -s -L https://nvidia.github.io/nvidia-docker/ubuntu16.04/amd64/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  

创建tensorflow1.8.0+cuda9.0环境

 sudo nvidia-docker run -v /datadrive2/zhenbo/:/datadrive2/zhenbo/ -it tensorflow/tensorflow:1.8.0-devel-gpu-py3 bash