export DOCKER_REGISTRY=registry.cn-hangzhou.aliyuncs.com/cqy_test
docker login $DOCKER_REGISTRY --username=西交陈清源

docker pull registry.cn-shanghai.aliyuncs.com/tcc-public/python:3
#基础镜像地址
#https://tianchi.aliyun.com/forum/postDetail"htmlcode">

wget http://tianchi-media.oss-cn-beijing.aliyuncs.com/docker-tool/tianchi_docker.zip
unzip tianchi_docker.zip


或者进入镜像修改


docker run --gpus all -it registry.cn-shanghai.aliyuncs.com/tcc-public/pytorch:1.4-cuda10.1-py3 /bin/bash
#测试时如需数据集，则可以将本地路径映射到镜像中
docker run --gpus all -it -v /tmp:/tcdata registry.cn-shanghai.aliyuncs.com/tcc-public/pytorch:1.4-cuda10.1-py3 /bin/bash
pip intall ***
#新开一个终端
#查看当前容器（运行中的镜像）
docker ps 
#打包生成新的base镜像
docker commit 容器ID registry.cn-shenzhen.aliyuncs.com/test_for_tianchi/test_for_tianchi_submit:base


最后执行docker_build.sh或者分步执行：


#构建
docker build -t registry.cn-shenzhen.aliyuncs.com/test_for_tianchi/test_for_tianchi_submit:1.0 .
#本地测试
nvidia-docker run your_image sh run.sh
#上传
docker push registry.cn-shenzhen.aliyuncs.com/test_for_tianchi/test_for_tianchi_submit:1.0