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[CUDA] Reduce use of managed memory (#2725)
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Browse Source 
* Use async cuda malloc managed with cuda 13

* add pool threshold

* refactor for regular cuda malloc

* load eval gpu for cuda

* remove use of cuda pool, use cuda free async

* fix

* fix

* fix

* fix

* fix + comment
This commit is contained in:
Awni Hannun
2025-11-05 16:05:23 -08:00
committed by GitHub
parent 27778156dc
commit df58b4133a
79 changed files with 795 additions and 515 deletions
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4
.github/actions/build-cuda/action.yml vendored
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@@ -26,10 +26,6 @@ runs:
CMAKE_ARGS: -DMLX_BUILD_CUDA=ON -DCMAKE_COMPILE_WARNING_AS_ERROR=ON -DCMAKE_CUDA_COMPILER=${{ inputs.nvcc-location }}
run: pip install -e ".[dev]" -v
- name: Check if build actually worked
shell: bash
run: python -c "import mlx.core"
- name: Run Python tests - CPU
if: inputs.run-tests == 'true'
shell: bash