TorchBench Userbenchmark on T4 Metal #960
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| name: TorchBench Userbenchmark on T4 Metal | |
| on: | |
| schedule: | |
| - cron: '0 17 * * *' # run at 5 PM UTC | |
| 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: [self-hosted, bm-runner] | |
| timeout-minutes: 1440 # 24 hours | |
| environment: docker-s3-upload | |
| env: | |
| CONDA_ENV_NAME: "userbenchmarks-ci" | |
| PLATFORM_NAME: "aws_t4_metal" | |
| 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: ${{ secrets.AWS_SECRET_ACCESS_KEY }} | |
| SETUP_SCRIPT: "/data/nvme/bin/setup_instance.sh" | |
| steps: | |
| - name: Checkout TorchBench | |
| uses: actions/checkout@v3 | |
| with: | |
| path: benchmark | |
| - name: Create conda environment | |
| run: | | |
| python benchmark/utils/python_utils.py --create-conda-env "${CONDA_ENV_NAME}" | |
| sudo python benchmark/utils/cuda_utils.py --setup-cuda-softlink | |
| - name: Install PyTorch nightly | |
| run: | | |
| . "${SETUP_SCRIPT}" && . activate "${CONDA_ENV_NAME}" | |
| pushd benchmark | |
| # Install dependencies | |
| python utils/cuda_utils.py --install-torch-deps | |
| # check the machine is tuned | |
| pip install -U py-cpuinfo psutil distro boto3 | |
| sudo ${HOME}/miniconda3/envs/${CONDA_ENV_NAME}/bin/python3 torchbenchmark/util/machine_config.py | |
| # Check if nightly builds are available | |
| NIGHTLIES=$(python utils/torch_nightly_utils.py --packages torch) | |
| # If failed, the script will generate empty result | |
| if [ -z $NIGHTLIES ]; then | |
| echo "Torch nightly build failed. Cancel the workflow." | |
| exit 1 | |
| fi | |
| # Install PyTorch and torchvision nightly from pip | |
| python utils/cuda_utils.py --install-torch-nightly | |
| python utils/cuda_utils.py --check-torch-nightly-version | |
| # make sure pytorch+cuda works | |
| python -c "import torch; torch.cuda.init()" | |
| - name: Install TorchBench | |
| run: | | |
| set -x | |
| . "${SETUP_SCRIPT}" && conda activate "${CONDA_ENV_NAME}" | |
| pushd benchmark | |
| python install.py | |
| - name: Run user benchmark | |
| run: | | |
| set -x | |
| . "${SETUP_SCRIPT}" && conda activate "${CONDA_ENV_NAME}" | |
| # remove old results | |
| if [ -d benchmark-output ]; then rm -Rf benchmark-output; fi | |
| pushd benchmark | |
| if [ -d .userbenchmark ]; then rm -Rf .userbenchmark; fi | |
| MANUAL_WORKFLOW="${{ github.event.inputs.userbenchmark_name }}" | |
| if [ -z "${MANUAL_WORKFLOW}" ]; then | |
| # Figure out what userbenchmarks we should run, and run it | |
| python ./.github/scripts/userbenchmark/schedule-benchmarks.py --platform ${PLATFORM_NAME} | |
| if [ -d ./.userbenchmark ]; then | |
| cp -r ./.userbenchmark ../benchmark-output | |
| else | |
| mkdir ../benchmark-output | |
| fi | |
| else | |
| python run_benchmark.py "${{ github.event.inputs.userbenchmark_name }}" ${{ github.event.inputs.userbenchmark_options }} | |
| cp -r ./.userbenchmark/"${{ github.event.inputs.userbenchmark_name }}" ../benchmark-output | |
| fi | |
| - name: Upload artifact | |
| uses: actions/upload-artifact@v3 | |
| with: | |
| name: TorchBench result | |
| path: benchmark-output/ | |
| - name: Upload result jsons to Scribe | |
| run: | | |
| . "${SETUP_SCRIPT}" && conda activate "${CONDA_ENV_NAME}" | |
| conda install -y six | |
| 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 "${PLATFORM_NAME}" | |
| done | |
| - name: Remove conda environment | |
| run: | | |
| conda env remove --name "${CONDA_ENV_NAME}" | |
| - name: Cleanup repo | |
| if: always() | |
| run: | | |
| sudo rm -rf benchmark || true |