mirror of
https://github.com/pytorch/pytorch.git
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5f0c7cb4aa
Okay running test_max_autotune locally on B200is horrible read, for now to get something landed I am focusing on test_matmul_cuda.py and test_fp8 Pull Request resolved: https://github.com/pytorch/pytorch/pull/159494 Approved by: https://github.com/nWEIdia, https://github.com/huydhn ghstack dependencies: #163460, #163537, #163552
76 lines
2.6 KiB
YAML
76 lines
2.6 KiB
YAML
# B200 Smoke Tests CI Workflow
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#
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# This workflow runs smoke tests on B200 hardware
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#
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# Flow:
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# 1. Builds PyTorch with CUDA 12.8+ and sm100 architecture for B200
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# 2. Runs smoke tests on linux.dgx.b200 runner
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# 3. Tests executed are defined in .ci/pytorch/test.sh -> test_python_smoke() function
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#
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# Triggered by:
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# - Pull requests modifying this workflow file
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# - Manual dispatch
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# - Schedule (every 6 hours)
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# - Adding ciflow/b200 label to a PR (creates ciflow/b200/* tag)
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name: B200 Smoke Tests
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on:
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pull_request:
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paths:
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- .github/workflows/test-b200.yml
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workflow_dispatch:
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schedule:
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- cron: 0 4,10,16,22 * * * # every 6 hours
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push:
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tags:
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- ciflow/b200/*
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concurrency:
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group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.sha }}-${{ github.event_name == 'workflow_dispatch' }}-${{ github.event_name == 'schedule' }}
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cancel-in-progress: true
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permissions:
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id-token: write
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contents: read
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jobs:
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get-label-type:
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if: github.repository_owner == 'pytorch'
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name: get-label-type
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uses: pytorch/pytorch/.github/workflows/_runner-determinator.yml@main
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with:
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triggering_actor: ${{ github.triggering_actor }}
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issue_owner: ${{ github.event.pull_request.user.login || github.event.issue.user.login }}
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curr_branch: ${{ github.head_ref || github.ref_name }}
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curr_ref_type: ${{ github.ref_type }}
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linux-jammy-cuda12_8-py3_10-gcc11-sm100-build:
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name: linux-jammy-cuda12.8-py3.10-gcc11-sm100
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uses: ./.github/workflows/_linux-build.yml
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needs: get-label-type
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with:
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runner_prefix: "${{ needs.get-label-type.outputs.label-type }}"
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runner: linux.12xlarge.memory
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build-environment: linux-jammy-cuda12.8-py3.10-gcc11-sm100
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docker-image-name: ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11
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cuda-arch-list: '10.0'
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test-matrix: |
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{ include: [
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{ config: "smoke_b200", shard: 1, num_shards: 1, runner: "linux.dgx.b200" },
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]}
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# config: "smoke_b200" maps to test_python_smoke_b200() in .ci/pytorch/test.sh
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secrets: inherit
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linux-jammy-cuda12_8-py3_10-gcc11-sm100-test:
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name: linux-jammy-cuda12.8-py3.10-gcc11-sm100
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uses: ./.github/workflows/_linux-test.yml
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needs:
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- linux-jammy-cuda12_8-py3_10-gcc11-sm100-build
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with:
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build-environment: linux-jammy-cuda12.8-py3.10-gcc11-sm100
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docker-image: ${{ needs.linux-jammy-cuda12_8-py3_10-gcc11-sm100-build.outputs.docker-image }}
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test-matrix: ${{ needs.linux-jammy-cuda12_8-py3_10-gcc11-sm100-build.outputs.test-matrix }}
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aws-role-to-assume: arn:aws:iam::308535385114:role/gha_workflow_s3_and_ecr_read_only
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secrets: inherit |