mirror of
https://github.com/ml-explore/mlx.git
synced 2025-11-08 13:28:15 +08:00
69 lines
1.9 KiB
YAML
69 lines
1.9 KiB
YAML
name: 'Build and Test with CUDA'
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description: 'Build and test MLX with CUDA'
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inputs:
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build-type:
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description: 'Build type (debug, release)'
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required: false
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default: 'debug'
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run-tests:
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description: 'Whether to run tests'
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required: false
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default: 'true'
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nvcc-location:
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description: 'Location of nvcc compiler'
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required: true
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default: '/usr/local/cuda-12.9/bin/nvcc'
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# this value is dependent on the CUDA tools installed in the setup-linux workflow
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runs:
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using: "composite"
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steps:
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- name: Install Python package
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shell: bash
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env:
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DEBUG: 1
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CMAKE_ARGS: -DMLX_BUILD_CUDA=ON -DCMAKE_COMPILE_WARNING_AS_ERROR=ON -DCMAKE_CUDA_COMPILER=${{ inputs.nvcc-location }}
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run: pip install -e ".[dev]" -v
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- name: Check if build actually worked
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shell: bash
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run: python -c "import mlx.core"
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- name: Run Python tests - CPU
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if: inputs.run-tests == 'true'
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shell: bash
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env:
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LOW_MEMORY: 1
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DEVICE: cpu
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run: python -m unittest discover python/tests -v
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- name: Run Python tests - GPU
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if: inputs.run-tests == 'true'
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shell: bash
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env:
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LOW_MEMORY: 1
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DEVICE: gpu
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run: python -m tests discover python/tests -v
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- name: Build CPP only
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if: inputs.build-type == 'debug'
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shell: bash
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run: |
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cmake . -B build \
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-DMLX_BUILD_CUDA=ON \
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-DCMAKE_CUDA_COMPILER=${{ inputs.nvcc-location }} \
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-DCMAKE_BUILD_TYPE=DEBUG
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cmake --build build -j $(nproc)
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- name: Run CPP tests
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if: ${{ inputs.build-type == 'debug' && inputs.run-tests == 'true' }}
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shell: bash
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run: ./build/tests/tests -sfe="*fft_tests.cpp,*linalg_tests.cpp"
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- name: Build Python package
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if: inputs.build-type == 'release'
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uses: ./.github/actions/build-cuda-release
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with:
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nvcc-location: ${{ inputs.nvcc-location }}
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