docker使用,包括有nvidia-docker

 docker run 命令:https://www.runoob.com/docker/docker-run-command.html

docker run -it ubuntu:15.10 /bin/bash #指定ubuntu15.04为镜像
docker run -it -v /home/work/suwenyuan:/home/work/suwenyuan --name antonio_ubuntu16.04 ubuntu16.04_dl_platform /bin/bash
nvidia-docker run -it -v /home/work/suwenyuan/docker_file:/home/work/suwenyuan/ --runtime=nvidia -e NVIDIA_VISIBLE_DEVICES=all --name ubuntu18.04 ubuntu:18.04 /bin/bash

 

docker images

 

 docker  ps -a#查看容器

 

重新命名镜像名

docker tag 657d80a6401d  ubuntu16.04_dl_platform# 657d80a6401d  是镜像id

 

Error response from daemon: Container ************** is not running

docker start 1cd6f9a81186
docker exec -it 1cd6f9a81186 /bin/bash #重新进入容器,1cd6f9a81186是容器id

 

可以使用的镜像

tensorflow/tensorflow:1.12.0-devel-gpu-py3

 

退出容器保持后台运行 Ctrl + P + Q 

docker images

 docker run -idt -p 9200:9200 22008d6d4b2d bash

docker ps

docker exec -it 31e2450033ce bash

 docker exec -it 31e2450033ce bash

 

posted @ 2019-10-15 20:50  suwenyuan  阅读(611)  评论(0编辑  收藏  举报