Add nightly benchmarking on Triton pytorch and triton-main versions #102
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| name: TritonBench PR Test | |
| on: | |
| pull_request: | |
| push: | |
| branches: | |
| - main | |
| jobs: | |
| h100-pytorch-test: | |
| # Don't run on forked repos | |
| if: github.repository_owner == 'pytorch-labs' | |
| runs-on: [gcp-h100-runner] | |
| timeout-minutes: 240 | |
| environment: docker-s3-upload | |
| env: | |
| CONDA_ENV: "pytorch" | |
| SETUP_SCRIPT: "/workspace/setup_instance.sh" | |
| steps: | |
| - name: Checkout Tritonbench | |
| uses: actions/checkout@v3 | |
| with: | |
| # no need to checkout submodules recursively | |
| submodules: true | |
| - name: Tune Nvidia GPU | |
| run: | | |
| sudo nvidia-smi -pm 1 | |
| sudo ldconfig | |
| nvidia-smi | |
| - name: Test Tritonbench operators on H100 GPU | |
| run: | | |
| bash ./.ci/tritonbench/test-gpu.sh | |
| concurrency: | |
| group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.sha }}-${{ github.event_name == 'workflow_dispatch' }} | |
| cancel-in-progress: true |