CML-EC2-Runner #12
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| name: CML-EC2-Runner | |
| on: | |
| workflow_dispatch: | |
| jobs: | |
| launch-runner: | |
| runs-on: ubuntu-latest | |
| steps: | |
| - uses: actions/checkout@v3 | |
| - uses: iterative/setup-cml@v1 | |
| - name: Deploy runner on AWS EC2 | |
| env: | |
| REPO_TOKEN: ${{ secrets.PERSONAL_ACCESS_TOKEN }} | |
| AWS_ACCESS_KEY_ID: ${{ secrets.AWS_ACCESS_KEY_ID }} | |
| AWS_SECRET_ACCESS_KEY: ${{ secrets.AWS_SECRET_ACCESS_KEY }} | |
| run: | | |
| cml runner launch \ | |
| --cloud=aws \ | |
| --name=session-08 \ | |
| --cloud-region=ap-south-1 \ | |
| --cloud-type=g4dn.xlarge \ | |
| --cloud-hdd-size=64 \ | |
| --cloud-spot \ | |
| --single \ | |
| --labels=cml-gpu \ | |
| --idle-timeout=100 | |
| train-and-report: | |
| runs-on: [self-hosted, cml-gpu] | |
| needs: launch-runner | |
| timeout-minutes: 20 | |
| container: | |
| image: docker://iterativeai/cml:0-dvc2-base1-gpu | |
| options: --gpus all | |
| steps: | |
| - uses: actions/checkout@v4 | |
| with: | |
| ref: ${{ github.event.pull_request.head.sha }} | |
| - name: Authenticate with AWS ECR | |
| uses: aws-actions/configure-aws-credentials@v4 | |
| with: | |
| aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }} | |
| aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }} | |
| aws-region: ${{ secrets.AWS_REGION }} | |
| - name: Login to Amazon ECR | |
| id: login-ecr | |
| uses: aws-actions/amazon-ecr-login@v1 | |
| - name: Pull Docker image from ECR | |
| run: | | |
| docker pull ${{secrets.AWS_ECR_LOGIN_URI}}/${{ secrets.ECR_REPOSITORY_NAME }}:latest | |
| - name: Run DVC commands in container | |
| run: | | |
| docker run --rm --gpus all \ | |
| -e AWS_ACCESS_KEY_ID=${{ secrets.AWS_ACCESS_KEY_ID }} \ | |
| -e AWS_SECRET_ACCESS_KEY=${{ secrets.AWS_SECRET_ACCESS_KEY }} \ | |
| -v "$(pwd):/workspace" \ | |
| ${{secrets.AWS_ECR_LOGIN_URI}}/${{ secrets.ECR_REPOSITORY_NAME }}:latest \ | |
| /bin/bash -c " | |
| cd /workspace && \ | |
| dvc pull -r myremote && \ | |
| dvc repro train | |
| " | |
| - name: Clean previous images and containers | |
| run: | | |
| docker system prune -f | |