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Use ccache in CI (#2414)
* Detect ccache * Use ccache in CI * Separate cache for different images * Test both 12.2 and 12.9 for PRs
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@@ -212,22 +212,42 @@ jobs:
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resource_class: gpu.nvidia.small.gen2
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steps:
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- checkout
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- restore_cache:
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keys:
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- cuda-<< parameters.image_date >>-{{ arch }}-
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- run:
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name: Install Python package
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name: Install dependencies
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command: |
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sudo apt-get update
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sudo apt-get install libcudnn9-dev-cuda-12
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sudo apt-get install libblas-dev liblapack-dev liblapacke-dev
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curl -sL https://github.com/ccache/ccache/releases/download/v4.11.3/ccache-4.11.3-linux-x86_64.tar.xz | tar xJf -
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sudo mv ccache-4.11.3-linux-x86_64/ccache /usr/bin/ccache
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rm -rf ccache-4.11.3-linux-x86_64
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- run:
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name: Install Python package
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command: |
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python3 -m venv env
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source env/bin/activate
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CMAKE_ARGS="-DMLX_BUILD_CUDA=ON -DCMAKE_CUDA_COMPILER=`which nvcc`" \
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pip install -e ".[dev]"
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pip install -e ".[dev]" -v
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- run:
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name: Run Python tests
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command: |
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source env/bin/activate
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LOW_MEMORY=1 DEVICE=cpu python -m unittest discover python/tests -v
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LOW_MEMORY=1 DEVICE=gpu python -m tests discover python/tests -v
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- run:
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name: CCache report
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command: |
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ccache --show-stats
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ccache --zero-stats
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ccache --max-size 400MB
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ccache --cleanup
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- save_cache:
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key: cuda-<< parameters.image_date >>-{{ arch }}-{{ epoch }}
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paths:
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- /home/circleci/.cache/ccache
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build_release:
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parameters:
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@@ -555,6 +575,9 @@ workflows:
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requires: [ hold ]
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- cuda_build_and_test:
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requires: [ hold ]
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matrix:
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parameters:
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image_date: ["2023.11.1", "2025.05.1"]
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nightly_build:
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when:
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and:
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