Clone https://github.com/mlcommons/algorithmic-efficiency.git #42
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| name: Release TorchBench Userbenchmark on A100 | |
| on: | |
| pull_request: | |
| paths: | |
| - userbenchmark/release-test/* | |
| jobs: | |
| run-userbenchmark: | |
| runs-on: [a100-runner] | |
| timeout-minutes: 1440 # 24 hours | |
| environment: docker-s3-upload | |
| env: | |
| BASE_CONDA_ENV: "torchbench" | |
| CONDA_ENV: "userbenchmark-a100" | |
| PLATFORM_NAME: "gcp_a100" | |
| SETUP_SCRIPT: "/workspace/setup_instance.sh" | |
| steps: | |
| - name: Checkout TorchBench | |
| uses: actions/checkout@v3 | |
| with: | |
| path: benchmark | |
| ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }} | |
| - name: Tune Nvidia GPU | |
| run: | | |
| sudo nvidia-smi -pm 1 | |
| sudo nvidia-smi -ac 1215,1410 | |
| nvidia-smi | |
| - name: Clone and setup conda env | |
| run: | | |
| CONDA_ENV=${BASE_CONDA_ENV} . "${SETUP_SCRIPT}" | |
| conda create --name "${CONDA_ENV}" --clone "${BASE_CONDA_ENV}" | |
| - name: Install TorchBench | |
| run: | | |
| set -x | |
| . "${SETUP_SCRIPT}" | |
| pushd benchmark | |
| python install.py | |
| - name: Run user benchmark | |
| run: | | |
| set -x | |
| . "${SETUP_SCRIPT}" | |
| # remove old results | |
| if [ -d benchmark-output ]; then rm -Rf benchmark-output; fi | |
| pushd benchmark | |
| # Install necessary packages <-- Added these lines | |
| pip3 install -e '.[jax_cpu]' | |
| pip3 install -e '.[pytorch_gpu]' -f 'https://download.pytorch.org/whl/cu121' | |
| pip3 install -e '.[full]' | |
| release_version=$(cat userbenchmark/release-test/version.txt) | |
| if [ -d .userbenchmark ]; then rm -Rf .userbenchmark; fi | |
| python run_benchmark.py release-test -c ${release_version} | |
| cp -r ./.userbenchmark/release-test ../benchmark-output | |
| - name: Upload artifact | |
| uses: actions/upload-artifact@v3 | |
| with: | |
| name: TorchBench result | |
| path: benchmark-output/ | |
| - name: Clean up Conda env | |
| if: always() | |
| run: | | |
| . "${SETUP_SCRIPT}" | |
| conda deactivate && conda deactivate | |
| conda remove -n "${CONDA_ENV}" --all |