Add DeepGEMM prerelease wheel tests (#27075)
Co-authored-by: Brayden Zhong <brayden@radixark.ai>
This commit is contained in:
co-authored by
Brayden Zhong
parent
d71e9bede6
commit
493f828bfa
@@ -26,6 +26,11 @@ concurrency:
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group: release-sgl-deepgemm-${{ github.ref }}
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cancel-in-progress: true
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env:
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# Must match TORCH_VER in docker/sgl-deep-gemm.Dockerfile — the wheel's
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# pre-compiled _C.so links against this torch ABI.
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TORCH_VER: "2.11.0"
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jobs:
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build-cu129-matrix:
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if: |
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@@ -54,7 +59,7 @@ jobs:
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uses: actions/checkout@v4
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with:
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repository: sgl-project/DeepGEMM
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ref: ${{ inputs.branch }}
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ref: ${{ inputs.branch || 'dev' }}
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path: DeepGEMM
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submodules: recursive
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@@ -74,8 +79,57 @@ jobs:
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name: deepgemm-wheel-cuda${{ matrix.cuda-version }}-${{ matrix.arch }}
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path: DeepGEMM/dist/*.whl
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release-cu129:
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test-cu129:
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needs: build-cu129-matrix
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strategy:
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fail-fast: false
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matrix:
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include:
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- arch_label: sm90
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runner: 8-gpu-h200
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wheel_arch: x86_64
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- arch_label: sm100
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runner: 8-gpu-b200
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wheel_arch: x86_64
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runs-on: ${{ matrix.runner }}
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timeout-minutes: 120
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steps:
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- uses: actions/checkout@v4
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- name: Checkout DeepGEMM
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uses: actions/checkout@v4
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with:
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repository: sgl-project/DeepGEMM
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ref: ${{ inputs.branch || 'dev' }}
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path: DeepGEMM
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submodules: recursive
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- name: Download wheel
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uses: actions/download-artifact@v4
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with:
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path: dist/
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merge-multiple: true
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pattern: deepgemm-wheel-cuda12.9-${{ matrix.wheel_arch }}
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- name: Install wheel and deps
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env:
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CU_TAG: cu129
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run: |
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python3 -m pip install --upgrade pip
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# deep_gemm imports torch before loading _C.so, so torch must preload the
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# libcudart the cu129 wheel links. Pin the CUDA-matched torch (see sgl-deep-gemm.Dockerfile).
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python3 -m pip install "torch==${TORCH_VER}" --index-url "https://download.pytorch.org/whl/${CU_TAG}" --force-reinstall
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python3 -m pip install numpy
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python3 -m pip install dist/*.whl
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python3 -c "import deep_gemm; print('deep_gemm:', deep_gemm.__file__)"
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- name: Run DeepGEMM test suite
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run: |
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chmod +x "${{ github.workspace }}/DeepGEMM/sgl_deep_gemm/run_tests.sh"
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"${{ github.workspace }}/DeepGEMM/sgl_deep_gemm/run_tests.sh"
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release-cu129:
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needs: [build-cu129-matrix, test-cu129]
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v4
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@@ -140,7 +194,7 @@ jobs:
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uses: actions/checkout@v4
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with:
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repository: sgl-project/DeepGEMM
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ref: ${{ inputs.branch }}
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ref: ${{ inputs.branch || 'dev' }}
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path: DeepGEMM
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submodules: recursive
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@@ -159,20 +213,73 @@ jobs:
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chmod +x ./scripts/build_sgl_deep_gemm.sh ./scripts/rename_sgl_deep_gemm_whl.sh
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./scripts/build_sgl_deep_gemm.sh "${{ matrix.python-version }}" "${{ matrix.cuda-version }}" "${{ github.workspace }}/DeepGEMM" "${{ matrix.arch }}"
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- name: Upload to PyPI
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working-directory: DeepGEMM
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run: |
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pip install twine
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python3 -m twine upload --skip-existing dist-pypi/* -u __token__ -p ${{ secrets.SGL_DEEP_GEMM_PYPI_TOKEN }}
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# PyPI upload moved to release-cu130 so it is gated on test-cu130.
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- name: Upload artifacts
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uses: actions/upload-artifact@v4
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with:
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name: deepgemm-wheel-cuda${{ matrix.cuda-version }}-${{ matrix.arch }}
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path: DeepGEMM/dist/*.whl
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release-cu130:
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- name: Upload PyPI artifacts
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uses: actions/upload-artifact@v4
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with:
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name: deepgemm-pypi-cuda${{ matrix.cuda-version }}-${{ matrix.arch }}
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path: DeepGEMM/dist-pypi/*.whl
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test-cu130:
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needs: build-cu130-matrix
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strategy:
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fail-fast: false
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matrix:
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include:
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- arch_label: sm90
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runner: 8-gpu-h200
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wheel_arch: x86_64
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- arch_label: sm100
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runner: 8-gpu-b200
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wheel_arch: x86_64
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- arch_label: sm100-aarch64
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runner: 4-gpu-gb300
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wheel_arch: aarch64
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runs-on: ${{ matrix.runner }}
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timeout-minutes: 120
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steps:
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- uses: actions/checkout@v4
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- name: Checkout DeepGEMM
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uses: actions/checkout@v4
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with:
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repository: sgl-project/DeepGEMM
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ref: ${{ inputs.branch || 'dev' }}
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path: DeepGEMM
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submodules: recursive
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- name: Download wheel
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uses: actions/download-artifact@v4
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with:
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path: dist/
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merge-multiple: true
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pattern: deepgemm-wheel-cuda13.0-${{ matrix.wheel_arch }}
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- name: Install wheel and deps
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env:
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CU_TAG: cu130
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run: |
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python3 -m pip install --upgrade pip
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# deep_gemm imports torch before loading _C.so, so torch must preload the
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# libcudart the cu130 wheel links. Pin the CUDA-matched torch (see sgl-deep-gemm.Dockerfile).
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python3 -m pip install "torch==${TORCH_VER}" --index-url "https://download.pytorch.org/whl/${CU_TAG}" --force-reinstall
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python3 -m pip install numpy
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python3 -m pip install dist/*.whl
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python3 -c "import deep_gemm; print('deep_gemm:', deep_gemm.__file__)"
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- name: Run DeepGEMM test suite
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run: |
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chmod +x "${{ github.workspace }}/DeepGEMM/sgl_deep_gemm/run_tests.sh"
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"${{ github.workspace }}/DeepGEMM/sgl_deep_gemm/run_tests.sh"
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release-cu130:
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needs: [build-cu130-matrix, test-cu130]
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v4
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@@ -184,6 +291,18 @@ jobs:
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merge-multiple: true
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pattern: deepgemm-wheel-cuda13.0-*
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- name: Download PyPI artifacts
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uses: actions/download-artifact@v4
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with:
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path: dist-pypi/
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merge-multiple: true
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pattern: deepgemm-pypi-cuda13.0-*
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- name: Upload to PyPI
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run: |
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pip install --upgrade twine "packaging>=24.2"
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python3 -m twine upload --skip-existing dist-pypi/* -u __token__ -p ${{ secrets.SGL_DEEP_GEMM_PYPI_TOKEN }}
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- name: Release
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uses: softprops/action-gh-release@v2
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with:
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