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安装docker

sudo apt install docker-compose

查看版本

docker version

添加 NVIDIA Container Toolkit依赖项

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

这里自动下载的内容是与ubuntu18.04相对应，需要修改为

sudo vim /etc/apt/sources.list.d/nvidia-docker.list

deb https://nvidia.github.io/libnvidia-container/stable/ubuntu20.04/$(ARCH) /
#deb https://nvidia.github.io/libnvidia-container/experimental/ubuntu20.04/$(ARCH) /
deb https://nvidia.github.io/nvidia-container-runtime/stable/ubuntu20.04/$(ARCH) /
#deb https://nvidia.github.io/nvidia-container-runtime/experimental/ubuntu20.04/$(ARCH) /
deb https://nvidia.github.io/nvidia-docker/ubuntu20.04/$(ARCH) /                                                                 

然后

cd /etc/apt/sources.list.d/; rm docker.list*

继续安装

sudo apt-get update && sudo apt-get install -y nvidia-container-toolkit
sudo systemctl restart docker

拉取镜像，例子

sudo docker pull pytorch/pytorch:1.2-cuda10.0-cudnn7-devel
sudo docker pull ubuntu:18.04

查看镜像

sudo docker images

删除镜像

sudo docker image rm ff0fea8310f3

删除容器

sudo docker rm u18

启动容器

docker run --name u18 --gpus all -it --rm ubuntu:18.04 bash
sudo docker run --name SPGAN --gpus all -it -v /home/bxt21/Documents/TGRS:/home/TGRS/ 22645c78dd69 /bin/bash

创建自己的镜像

sudo docker commit -a="bixueting" -m="ubuntu18.04 and python3.6 and mitsuba2" u18 u18mitsuba2