Torchao nightly workflow (A100) #36
Workflow file for this run
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| name: Torchao nightly workflow (A100) | |
| on: | |
| workflow_dispatch: | |
| jobs: | |
| run-benchmark: | |
| environment: docker-s3-upload | |
| env: | |
| BASE_CONDA_ENV: "torchbench" | |
| CONDA_ENV: "torchao-nightly" | |
| PLATFORM_NAME: "gcp_a100" | |
| SETUP_SCRIPT: "/workspace/setup_instance.sh" | |
| 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 }} | |
| IS_GHA: 1 | |
| BUILD_ENVIRONMENT: benchmark-nightly | |
| if: ${{ github.repository_owner == 'pytorch' }} | |
| runs-on: [a100-runner] | |
| timeout-minutes: 1440 # 24 hours | |
| 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 | |
| sudo ldconfig | |
| - name: Check workflow ID env | |
| env: | |
| WORKFLOW_RUN_ID: ${{ github.run_id }} | |
| WORKFLOW_RUN_ATTEMPT: ${{ github.run_attempt }} | |
| run: | | |
| if [ -z "${WORKFLOW_RUN_ID}" ]; then | |
| echo "WORKFLOW_RUN_ID is unset or set to the empty string" | |
| echo ${{ github.run_id }} | |
| exit 1 | |
| fi | |
| if [ -z "${WORKFLOW_RUN_ATTEMPT}" ]; then | |
| echo "WORKFLOW_RUN_ATTEMPT is unset or set to the empty string" | |
| echo ${{ github.run_attempt }} | |
| exit 1 | |
| fi | |
| - name: Clone and setup conda env | |
| run: | | |
| CONDA_ENV=${BASE_CONDA_ENV} . "${SETUP_SCRIPT}" | |
| conda create --name "${CONDA_ENV}" --clone "${BASE_CONDA_ENV}" | |
| - name: Run the torchao userbenchmark | |
| env: | |
| WORKFLOW_RUN_ID: ${{ github.event.workflow_run.id }} | |
| WORKFLOW_RUN_ATTEMPT: ${{ github.event.workflow_run.run_attempt }} | |
| run: | | |
| . "${SETUP_SCRIPT}" | |
| set -x | |
| # remove old results if exists | |
| if [ -d benchmark-output ]; then rm -Rf benchmark-output; fi | |
| pushd benchmark | |
| if [ -d .userbenchmark ]; then rm -Rf .userbenchmark; fi | |
| # Install torchao | |
| echo "Installing torchao" | |
| pip uninstall -y torchao | |
| python install.py --userbenchmark torchao | |
| echo "Running the torchao userbenchmark" | |
| python run_benchmark.py torchao --ci --dashboard | |
| - name: Copy the benchmark logs to benchmark-output | |
| if: always() | |
| run: | | |
| pushd benchmark | |
| cp -r ./.userbenchmark/torchao ../benchmark-output | |
| - name: Upload result to GH Actions Artifact | |
| uses: actions/upload-artifact@v3 | |
| if: always() | |
| with: | |
| name: Torchao nightly result | |
| path: benchmark-output/ | |
| - name: Copy artifact and upload to scribe and Amazon S3 | |
| env: | |
| WORKFLOW_RUN_ID: ${{ github.event.workflow_run.id }} | |
| WORKFLOW_RUN_ATTEMPT: ${{ github.event.workflow_run.run_attempt }} | |
| run: | | |
| . "${SETUP_SCRIPT}" | |
| pushd benchmark | |
| # Upload the result json to Amazon S3 | |
| python ./scripts/userbenchmark/upload_s3_csv.py --s3-prefix torchbench-csv --userbenchmark torchao \ | |
| --upload-path ../benchmark-output --match-filename "^torchao_.*\.csv" | |
| - name: Clean up Conda env | |
| if: always() | |
| run: | | |
| . "${SETUP_SCRIPT}" | |
| conda deactivate && conda deactivate | |
| conda remove -n "${CONDA_ENV}" --all |