TorchBench Optim Regression Detector on A100 #60
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| name: TorchBench Optim Regression Detector on A100 | |
| on: | |
| schedule: | |
| - cron: '0 4 * * *' # run at 4 AM UTC = midnight ET | |
| workflow_dispatch: | |
| inputs: | |
| userbenchmark_name: | |
| description: "Name of the user benchmark to run" | |
| userbenchmark_options: | |
| description: "Option of the user benchmark to run" | |
| jobs: | |
| run-userbenchmark: | |
| runs-on: [a100-runner] | |
| timeout-minutes: 1440 # 24 hours | |
| environment: docker-s3-upload | |
| env: | |
| BASE_CONDA_ENV: "torchbench" | |
| CONDA_ENV: "optim" | |
| PLATFORM_NAME: "gcp_a100" | |
| TORCHBENCH_USERBENCHMARK_SCRIBE_GRAPHQL_ACCESS_TOKEN: ${{ secrets.TORCHBENCH_USERBENCHMARK_SCRIBE_GRAPHQL_ACCESS_TOKEN }} | |
| AWS_ACCESS_KEY_ID: ${{ secrets.AWS_ACCESS_KEY_ID }} | |
| AWS_SECRET_ACCESS_KEY: ${{ secrets.AWS_SECRET_ACCESS_KEY }} | |
| SETUP_SCRIPT: "/workspace/setup_instance.sh" | |
| HUGGING_FACE_HUB_TOKEN: ${{ secrets.HUGGING_FACE_HUB_TOKEN }} | |
| steps: | |
| - name: Checkout TorchBench | |
| uses: actions/checkout@v3 | |
| with: | |
| path: benchmark | |
| - name: Tune Nvidia GPU | |
| run: | | |
| sudo nvidia-smi -pm 1 | |
| sudo nvidia-smi -ac 1215,1410 | |
| nvidia-smi | |
| - name: Clone and setup Conda env | |
| run: | | |
| CONDA_ENV=${BASE_CONDA_ENV} . "${SETUP_SCRIPT}" | |
| conda create --name "${CONDA_ENV}" --clone "${BASE_CONDA_ENV}" | |
| - name: Install TorchBench | |
| run: | | |
| set -x | |
| . "${SETUP_SCRIPT}" | |
| pushd benchmark | |
| # only install the subset of models currently running. | |
| python install.py BERT_pytorch DALLE2_pytorch hf_GPT2_large hf_T5_large resnet50 timm_vision_transformer_large yolov3 | |
| - name: Print torch.version.git_version | |
| run: | | |
| set -x | |
| . "${SETUP_SCRIPT}" | |
| python -c "import torch; print(torch.version.git_version)" | |
| - name: Run optim user benchmark | |
| run: | | |
| set -x | |
| . "${SETUP_SCRIPT}" | |
| # remove old results | |
| if [ -d benchmark-output ]; then rm -Rf benchmark-output; fi | |
| pushd benchmark | |
| if [ -d .userbenchmark ]; then rm -Rf .userbenchmark; fi | |
| # TODO: scale this to run other benchmarks, but let's start with optim | |
| # Only run a subset, see if this fixes the workflow | |
| python -m userbenchmark.optim.run_optim_benchmarks -s -c ${{ github.event.inputs.userbenchmark_options }} | |
| cp -r ./.userbenchmark/optim ../benchmark-output | |
| - name: Detect potential regressions | |
| continue-on-error: true | |
| run: | | |
| . "${SETUP_SCRIPT}" | |
| pushd benchmark | |
| RESULTS=($(find ${PWD}/../benchmark-output -name "metrics-*.json" -maxdepth 2 | sort -r)) | |
| # TODO: the following assumes only one metrics-*.json is found. It will keep | |
| # overwriting gh-issue.md if multiple are found. Scaling this up is a potential next step. | |
| for r in ${RESULTS[@]}; do | |
| python regression_detector.py --platform "${PLATFORM_NAME}" --treatment "${r}" --owner @janeyx99 \ | |
| --gh-issue-path gh-issue.md --errors-path errors.txt | |
| done | |
| - name: Create the github issue | |
| continue-on-error: true | |
| if: false | |
| uses: peter-evans/create-issue-from-file@v4 | |
| with: | |
| title: Optim Perf Signal Detected by TorchBench CI on ${{ env.TORCHBENCH_REGRESSION_DETECTED }} | |
| token: ${{ secrets.TORCHBENCH_ACCESS_TOKEN }} | |
| content-filepath: ./benchmark/gh-issue.md | |
| labels: | | |
| torchbench-perf-report | |
| - name: Upload result jsons to Scribe and S3 | |
| run: | | |
| . "${SETUP_SCRIPT}" | |
| pushd benchmark | |
| RESULTS=($(find ${PWD}/../benchmark-output -name "metrics-*.json" -maxdepth 2 | sort -r)) | |
| echo "Uploading result jsons: ${RESULTS}" | |
| for r in ${RESULTS[@]}; do | |
| python ./scripts/userbenchmark/upload_scribe.py --userbenchmark_json "${r}" --userbenchmark_platform "${PLATFORM_NAME}" | |
| python ./scripts/userbenchmark/upload_s3.py --upload-file "${r}" --userbenchmark_platform "${PLATFORM_NAME}" | |
| done | |
| - name: Upload artifact | |
| uses: actions/upload-artifact@v3 | |
| with: | |
| name: TorchBench result | |
| path: benchmark-output/ | |
| - name: Finally, error if errors.txt exists | |
| if: always() | |
| run: | | |
| # Do not error earlier as we want all artifacts and regressions to be reported first | |
| # TODO: potentially move errors.txt to benchmark-output so it gets uploaded to S3 | |
| pushd benchmark | |
| if [ -e errors.txt ]; then cat errors.txt && exit 1; fi | |
| - name: Remove conda environment | |
| if: always() | |
| run: | | |
| . "${SETUP_SCRIPT}" | |
| conda deactivate && conda deactivate | |
| conda remove -n "${CONDA_ENV}" --all |