name: benchmarks on: [push] jobs: run: runs-on: [ubuntu-latest] container: ghcr.io/iterative/cml steps: - uses: actions/checkout@v3 - name: cml_run env: CML_DRIVER_TOKEN: ${{ secrets.GITHUB_TOKEN }} run: | # See https://github.com/actions/checkout/issues/760 git config --global --add safe.directory /__w/datasets/datasets # Your ML workflow goes here pip install --upgrade pip pip install setuptools wheel pip install -e .[benchmarks] # pyarrow==8.0.0 pip install pyarrow==8.0.0 dvc repro --force git fetch --prune dvc metrics diff --json main > report.json python ./benchmarks/format.py report.json report.md echo "
\nShow benchmarks\n\nPyArrow==8.0.0\n" > final_report.md cat report.md >> final_report.md # pyarrow pip install pyarrow --upgrade dvc repro --force git fetch --prune dvc metrics diff --json main > report.json python ./benchmarks/format.py report.json report.md echo "\nPyArrow==latest\n" >> final_report.md cat report.md >> final_report.md echo "\n
" >> final_report.md cml comment create final_report.md