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Delete Dockerfile-SD-Trainer #7

Delete Dockerfile-SD-Trainer

Delete Dockerfile-SD-Trainer #7

name: Dockerfile-SD-Trainer
on:
push:
paths: ['Dockerfile-SD-Trainer']
workflow_dispatch:
inputs:
env:
description: '手动触发'
default: 'prod'
# 只需要修改这里的变量就可以,如非必要,jobs下的参数不要动
env:
own: joybo # 需要修改为你的阿里云命名空间
repo: $(echo $GITHUB_REPOSITORY | cut -d'/' -f2) # 获取当前仓库的名称,阿里云需要创建同名仓库
server: registry.cn-hangzhou.aliyuncs.com # 你的阿里云服务器地址(不同区域的地址不一样)
server-id: cn-hangzhou # 服务器ID,看上面就可以
TZ: Asia/Shanghai
jobs:
Docker-Build-Release:
if: ${{ github.ref == 'refs/heads/main' }} # 检测main分支是否有更新
runs-on: ubuntu-latest
steps:
# 增加可用磁盘空间
- name: Maximize build space
uses: easimon/maximize-build-space@master
with:
root-reserve-mb: 2048
swap-size-mb: 128
remove-dotnet: 'true'
remove-haskell: 'true'
# 如果空间还是不够用,可以把以下开启,清理出更多空间
# remove-android: 'true'
# remove-codeql: 'true'
build-mount-path: '/var/lib/docker/'
- name: Restart docker
run: sudo service docker restart
- name: Free up disk space complete
run: |
echo "Free up disk space complete"
echo "=============================================================================="
df -hT
echo "=============================================================================="
- name: Checkout Code
uses: actions/checkout@v4
- name: Docker Setup Buildx
uses: docker/setup-buildx-action@v3
- name: 获取当前日期
id: date
run: echo "::set-output name=date::$(date +v%Y.%m.%d)"
- uses: actions/checkout@v2 # pull代码到运行服务器上
- name: 登录阿里云仓库
uses: aliyun/acr-login@v1 # 使用阿里云镜像服务action
with:
login-server: ${{ env.server}} # 务必正确填写镜像容器服务的登录地址
region-id: ${{ env.server-id }} # 务必正确填写镜像容器服务的登录地址
username: "${{ secrets.REGISTRY_USERNAME }}" # 引用GitHub repo设置的镜像容器服务用户名
password: "${{ secrets.REGISTRY_PASSWORD }}" # 引用GitHub repo设置的镜像容器服务密码
- name: 构建和上传Docker镜像
run: |
docker build -t ${{ env.server }}/${{ env.own }}/${{ env.repo }}:${{ steps.date.outputs.date }}-action-sd-trainer -f Dockerfile-SD-Trainer .
docker push ${{ env.server }}/${{ env.own }}/${{ env.repo }}:${{ steps.date.outputs.date }}-action-sd-trainer
- name: Docker Pull 命令
run: echo "docker pull ${{ env.server }}/${{ env.own }}/${{ env.repo }}:${{ steps.date.outputs.date }}-action-sd-trainer"