Test Example on Schedule #17
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| name: Test Example on Schedule | |
| on: | |
| # run at 00:00 of every Sunday(singapore time) so here is UTC time Saturday 16:00 | |
| schedule: | |
| - cron: '0 16 * * 6' | |
| workflow_dispatch: | |
| jobs: | |
| # This is for all files' weekly check. Specifically, this job is to find all the directories. | |
| matrix_preparation: | |
| if: github.repository == 'hpcaitech/ColossalAI' | |
| name: Prepare matrix for weekly check | |
| runs-on: ubuntu-latest | |
| outputs: | |
| matrix: ${{ steps.setup-matrix.outputs.matrix }} | |
| steps: | |
| - name: 📚 Checkout | |
| uses: actions/checkout@v3 | |
| - name: setup matrix | |
| id: setup-matrix | |
| run: | | |
| res=`python .github/workflows/scripts/example_checks/check_example_weekly.py` | |
| all_loc=$( IFS=',' ; echo "${res[*]}" ) | |
| echo "Found the examples: $all_loc" | |
| echo "matrix={\"directory\":$(echo "$all_loc")}" >> $GITHUB_OUTPUT | |
| weekly_check: | |
| if: github.repository == 'hpcaitech/ColossalAI' | |
| name: Weekly check all examples | |
| needs: matrix_preparation | |
| runs-on: [self-hosted, gpu] | |
| strategy: | |
| fail-fast: false | |
| matrix: ${{fromJson(needs.matrix_preparation.outputs.matrix)}} | |
| container: | |
| image: hpcaitech/pytorch-cuda:2.2.2-12.1.0 | |
| options: --gpus all --rm -v /data/scratch/examples-data:/data/ -v /dev/shm | |
| timeout-minutes: 30 | |
| steps: | |
| - name: 📚 Checkout | |
| uses: actions/checkout@v3 | |
| - name: Install Colossal-AI | |
| run: | | |
| BUILD_EXT=1 pip install -v -e . | |
| - name: Traverse all files | |
| run: | | |
| example_dir=${{ matrix.directory }} | |
| echo "Testing ${example_dir} now" | |
| cd "${PWD}/examples/${example_dir}" | |
| bash test_ci.sh | |
| - name: Notify Lark | |
| id: message-preparation | |
| if: ${{ failure() }} | |
| run: | | |
| url=$SERVER_URL/$REPO/actions/runs/$RUN_ID | |
| msg="Example tests failed for $EXAMPLE_DIR, please visit $url for details" | |
| echo $msg | |
| python .github/workflows/scripts/send_message_to_lark.py -m "$msg" -u $WEBHOOK_URL | |
| env: | |
| SERVER_URL: ${{github.server_url }} | |
| REPO: ${{ github.repository }} | |
| RUN_ID: ${{ github.run_id }} | |
| WEBHOOK_URL: ${{ secrets.LARK_NOTIFICATION_WEBHOOK_URL }} | |
| EXAMPLE_DIR: ${{ matrix.directory }} |