TorchBench A100 bisection #16
Workflow file for this run
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| name: TorchBench A100 bisection | |
| on: | |
| workflow_dispatch: | |
| inputs: | |
| start_commit: | |
| description: "Start PyTorch commit hash" | |
| required: true | |
| end_commit: | |
| description: "End PyTorch commit hash" | |
| required: true | |
| userbenchmark: | |
| description: "Userbenchmark name" | |
| required: true | |
| userbenchmark_args: | |
| description: "Userbenchmark arguments" | |
| required: true | |
| jobs: | |
| bisection: | |
| environment: docker-s3-upload | |
| env: | |
| BASE_CONDA_ENV: "torchbench" | |
| CONDA_ENV: "bisection-ci-a100" | |
| PLATFORM_NAME: "gcp_a100" | |
| SETUP_SCRIPT: "/workspace/setup_instance.sh" | |
| BISECT_WORKDIR: ".userbenchmark/${{ github.event.inputs.userbenchmark }}/bisection" | |
| AWS_ACCESS_KEY_ID: ${{ secrets.AWS_ACCESS_KEY_ID }} | |
| AWS_SECRET_ACCESS_KEY: ${{ secrets.AWS_SECRET_ACCESS_KEY }} | |
| HUGGING_FACE_HUB_TOKEN: ${{ secrets.HUGGING_FACE_HUB_TOKEN }} | |
| if: ${{ github.repository_owner == 'pytorch' }} | |
| runs-on: [a100-runner] | |
| timeout-minutes: 2880 # 48 hours | |
| steps: | |
| - name: Checkout | |
| uses: actions/checkout@v3 | |
| with: | |
| path: benchmark | |
| - name: Checkout pytorch | |
| uses: actions/checkout@v3 | |
| with: | |
| repository: pytorch/pytorch | |
| path: srcs/pytorch | |
| fetch-depth: 0 | |
| - name: Checkout torchvision | |
| uses: actions/checkout@v3 | |
| with: | |
| repository: pytorch/vision | |
| path: srcs/vision | |
| fetch-depth: 0 | |
| - name: Checkout torchaudio | |
| uses: actions/checkout@v3 | |
| with: | |
| repository: pytorch/audio | |
| path: srcs/audio | |
| fetch-depth: 0 | |
| - name: Tune Nvidia GPU | |
| run: | | |
| sudo nvidia-smi -pm 1 | |
| sudo nvidia-smi -ac 1215,1410 | |
| nvidia-smi | |
| - name: Setup conda env | |
| run: | | |
| CONDA_ENV=${BASE_CONDA_ENV} . "${SETUP_SCRIPT}" | |
| cd benchmark | |
| python install.py | |
| mkdir -p "${BISECT_WORKDIR}" | |
| PYTORCH_GIT_HASH=$(python -c 'import torch; print(torch.version.git_version)') | |
| python run_benchmark.py ${{ github.event.inputs.userbenchmark }} ${{ github.event.inputs.userbenchmark_args }} --dryrun \ | |
| --output "${BISECT_WORKDIR}/metrics-control.json" | |
| sed -i "s/${PYTORCH_GIT_HASH}/${{ github.event.inputs.start_commit }}/g" "${BISECT_WORKDIR}/metrics-control.json" | |
| python run_benchmark.py ${{ github.event.inputs.userbenchmark }} ${{ github.event.inputs.userbenchmark_args }} --dryrun \ | |
| --output "${BISECT_WORKDIR}/metrics-treatment.json" | |
| sed -i "s/${PYTORCH_GIT_HASH}/${{ github.event.inputs.end_commit }}/g" "${BISECT_WORKDIR}/metrics-treatment.json" | |
| python regression_detector.py \ | |
| --control "${BISECT_WORKDIR}/metrics-control.json" --treatment "${BISECT_WORKDIR}/metrics-treatment.json" \ | |
| --output "${BISECT_WORKDIR}/regression-gh${GITHUB_RUN_ID}.yaml" | |
| python ./utils/python_utils.py --create-conda-env "${CONDA_ENV}" | |
| - name: Setup bisection environment | |
| run: | | |
| . "${SETUP_SCRIPT}"; cd benchmark | |
| python utils/cuda_utils.py --install-torch-build-deps | |
| python utils/cuda_utils.py --install-torchbench-deps | |
| - name: Bisection | |
| run: | | |
| . "${SETUP_SCRIPT}"; cd benchmark | |
| python bisection.py --work-dir "${BISECT_WORKDIR}" --torch-repos-path "${PWD}/../srcs" \ | |
| --torchbench-repo-path "${PWD}" --config "${BISECT_WORKDIR}/regression-gh${GITHUB_RUN_ID}.yaml" \ | |
| --output "${BISECT_WORKDIR}/bisect-output-gh${GITHUB_RUN_ID}.json" | |
| cp -r "${BISECT_WORKDIR}" ../bisection-result | |
| - name: Upload artifact | |
| if: always() | |
| uses: actions/upload-artifact@v3 | |
| with: | |
| name: Bisection result | |
| path: bisection-result/ | |
| - name: Clean up Conda env | |
| if: always() | |
| run: | | |
| . "${SETUP_SCRIPT}" | |
| conda deactivate && conda deactivate | |
| conda remove -n "${CONDA_ENV}" --all |