Merge pull request #8 from QuantEcon/maint-30jan #9
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| name: Build Cache [using jupyter-book] | |
| on: | |
| push: | |
| branches: | |
| - main | |
| jobs: | |
| deploy-runner: | |
| runs-on: ubuntu-latest | |
| steps: | |
| - uses: iterative/setup-cml@v1 | |
| - uses: actions/checkout@v4 | |
| with: | |
| ref: ${{ github.event.pull_request.head.sha }} | |
| - name: Deploy runner on EC2 | |
| env: | |
| REPO_TOKEN: ${{ secrets.QUANTECON_SERVICES_PAT }} | |
| AWS_ACCESS_KEY_ID: ${{ secrets.AWS_ACCESS_KEY_ID }} | |
| AWS_SECRET_ACCESS_KEY: ${{ secrets.AWS_SECRET_ACCESS_KEY }} | |
| run: | | |
| cml runner launch \ | |
| --cloud=aws \ | |
| --cloud-region=us-west-2 \ | |
| --cloud-type=p3.2xlarge \ | |
| --labels=cml-gpu \ | |
| --cloud-hdd-size=40 | |
| cache: | |
| needs: deploy-runner | |
| runs-on: [self-hosted, cml-gpu] | |
| container: | |
| image: docker://mmcky/quantecon-lecture-python:cuda-12.1.0-anaconda-2023-09-py311-c | |
| options: --gpus all | |
| steps: | |
| - uses: actions/checkout@v4 | |
| with: | |
| ref: ${{ github.event.pull_request.head.sha }} | |
| - name: Check nvidia drivers | |
| shell: bash -l {0} | |
| run: | | |
| nvidia-smi | |
| - name: Build HTML | |
| shell: bash -l {0} | |
| run: | | |
| jb build lectures --path-output ./ -W --keep-going | |
| - name: Upload Execution Reports | |
| uses: actions/upload-artifact@v4 | |
| if: failure() | |
| with: | |
| name: execution-reports | |
| path: _build/html/reports | |
| - name: Upload "_build" folder (cache) | |
| uses: actions/upload-artifact@v4 | |
| with: | |
| name: build-cache | |
| path: _build |