TorchBench Nightly #16
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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: Checkout TorchBench | |
| uses: actions/checkout@v4 | |
| with: | |
| repository: 'pytorch/benchmark' | |
| ref: '7dc8e8113f8d5dc97aaa2bef94f9d389047cfcde' | |
| path: 'torchbench' | |
| submodules: 'recursive' | |
| - name: Create Python venv | |
| run: | | |
| python3 -m venv ${HOME}/torchbench/venv | |
| source ${HOME}/torchbench/venv/bin/activate | |
| # We don't want to use to use TorchBench nightlies here | |
| - name: Install TorchBench and models | |
| run: | | |
| python3 -m pip install --upgrade pip | |
| python3 -m pip install --upgrade torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121 | |
| cd torchbench | |
| python3 install.py detectron2_fasterrcnn_r_101_c4 | |
| - name: Install the latest Triton wheel | |
| run: | | |
| python3 -m pip install --upgrade triton-nightly --index-url https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/Triton-Nightly/pypi/simple/ | |
| - 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 test.py -v TestBenchmark.test_detectron2_fasterrcnn_r_101_c4_train_cuda | |
| - name: Cleanup and reset GPU clocks | |
| if: always() | |
| run: | | |
| sudo nvidia-smi -i 0 -rgc | |
| deactivate |