分离CPU和GPU计算任务成两个镜像 Separate GPU-accelerated steps to GPU the workload image. #25
Workflow file for this run
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| name: Pytvzhen-web Docker PR Build | |
| on: | |
| pull_request: | |
| branches: [ master ] | |
| jobs: | |
| build: | |
| runs-on: self-hosted | |
| steps: | |
| - name: Check out code | |
| uses: actions/checkout@v2 | |
| - name: Set up Docker Buildx | |
| uses: docker/setup-buildx-action@v1 | |
| - name: Build EasyVideoTrans service | |
| uses: docker/build-push-action@v2 | |
| with: | |
| context: . | |
| push: false | |
| tags: hanfa/easyvideotrans:${{github.event.pull_request.number}} | |
| - name: Build EasyVideoTrans workloads | |
| uses: docker/build-push-action@v2 | |
| with: | |
| context: . | |
| file: Dockerfile-gpu-workload | |
| push: false | |
| tags: hanfa/easyvideotrans-workloads:${{github.event.pull_request.number}} |