nvidia-docker的安装与迁移

Docker的安装

• 安装仓库

sudo apt-get -y install apt-transport-https ca-certificates curl  

curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add -  

sudo add-apt-repository "deb [arch=amd64] https://download.docker.com/linux/ubuntu $(lsb_release -cs) stable"  

sudo apt-get update 
           

• 安装docker

参考

• 官方pull镜像加速

sudo vim /etc/docker/daemon.json
# 添加如下字段
{
  "registry-mirrors": ["https://registry.docker-cn.com"]
}
           

重新加载配置文件，重启docker

systemctl daemon-reload
systemctl restart docker
           

参考

Nvidia-docker_1.0.1的安装

# Install nvidia-docker and nvidia-docker-plugin
wget -P /tmp https://github.com/NVIDIA/nvidia-docker/releases/download/v1/nvidia-docker_1-_amd64.deb
sudo dpkg -i /tmp/nvidia-docker*.deb && rm /tmp/nvidia-docker*.deb

# Test nvidia-smi
sudo nvidia-docker run --rm nvidia/cuda nvidia-smi
           

参考

Nvidia-docker_2的安装

# 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 nvidia-smi
           

参考

Docker容器提交制作镜像

# docker commit -m "description" -a "authorname" containerid respository
           

Docker镜像文件导出和导入

• 镜像文件导出

sudo docker save imageid > xxxx.tar
           

• 镜像文件导入

sudo docker load < xxxx.tar