TorchBench Nightly #28
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| name: TorchBench Nightly | |
| on: | |
| workflow_dispatch: | |
| env: | |
| TRITON_USE_ASSERT_ENABLED_LLVM: "TRUE" | |
| jobs: | |
| TorchBench-Nvidia: | |
| runs-on: [self-hosted, A100] | |
| steps: | |
| - name: Clear cache | |
| run: | | |
| rm -rf ${HOME}/.triton | |
| rm -rf ${HOME}/torchbench | |
| - name: Checkout TorchBench | |
| uses: actions/checkout@v4 | |
| with: | |
| repository: 'pytorch/benchmark' | |
| ref: '7617d3f53f8ae8db938cda80173926968c7f0d4b' | |
| path: 'torchbench' | |
| submodules: 'recursive' | |
| - name: Create Python venv | |
| run: | | |
| python3 -m venv ${HOME}/torchbench/venv | |
| source ${HOME}/torchbench/venv/bin/activate | |
| echo PATH=${PATH} >> $GITHUB_ENV | |
| # Torch nightly version below must match TorchBench commit above | |
| # python3 -m pip install doctr fastnlp lightning-utilities matplotlib numba pyre_extensions | |
| - name: Install TorchBench and models | |
| run: | | |
| python3 -m pip install --upgrade pip | |
| python3 -m pip install --upgrade torchaudio==2.2.0.dev20231017 torch==2.2.0.dev20231017 torchrec==0.5.0.dev20231017 torchvision==0.17.0.dev20231017 --index-url https://download.pytorch.org/whl/nightly/cu121 | |
| cd torchbench | |
| python3 install.py -v | |
| - name: Tune Nvidia GPU | |
| run: | | |
| sudo nvidia-smi -pm 1 | |
| sudo nvidia-smi --lock-gpu-clocks=1280,1280 | |
| nvidia-smi | |
| - name: Run TorchBench | |
| run: | | |
| cd torchbench | |
| python3 run_benchmark.py dynamo --performance --inference | |
| - name: Install the latest Triton wheel | |
| run: | | |
| python3 -m pip uninstall --yes pytorch-triton | |
| python3 -m pip install --upgrade triton-nightly --index-url https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/Triton-Nightly/pypi/simple/ | |
| - name: Run TorchBench Again | |
| run: | | |
| cd torchbench | |
| python3 run_benchmark.py dynamo --performance --inference | |
| - name: Cleanup and reset GPU clocks | |
| if: always() | |
| run: | | |
| sudo nvidia-smi -i 0 -rgc |