Switch to cuda-toolkit metapackage for wheel dependencies with streamlined documentation #883
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Co-authored-by: leofang <[email protected]>
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cuda-toolkit metapackage to constraint Python wheel dependencies
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- cuda_bindings: merge nvcc,nvrtc,nvjitlink,nvvm into single line - cuda_pathfinder: merge all extras except cufile (platform conditional) for cu12/cu13 Co-authored-by: leofang <[email protected]>
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Co-authored-by: leofang <[email protected]>
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/ok to test 6a12072 |
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/ok to test 5d4e179 |
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…tes grammar Co-authored-by: leofang <[email protected]>
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Thanks, guys! Since the CI was green and last two commits are doc change-only, let me admin-merge. |
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This PR migrates all NVIDIA wheel dependencies from individual packages to the new
cuda-toolkitmetapackage, providing safer version constraints, and adds streamlined documentation for the changes.Changes Made
Dependency Migration:
cuda_bindings/pyproject.toml: Updated optional dependencies in the[all]section to usecuda-toolkit[nvrtc,nvjitlink,nvvm]==13.*(no longer includesnvccas it was only needed for libNVVM access, which now has its own dedicated wheel)cuda_core/pyproject.toml: Updated test dependencies to usecuda-toolkit[cudart]with appropriate version constraints and addedtest-cu13dependency now thatcupy-cuda13xis availablecuda_pathfinder/pyproject.toml: Migrated from individual wheels to equivalentcuda-toolkitextras, includingnvccfor both cu12 and cu13 sectionsDocumentation Updates:
cuda-toolkitmetapackagecuda-versionmetapackage to control CUDA Toolkit componentsImportant Notes
NVCC Compiler Changes:
pip install cuda-python[all]. Previously, NVCC was included only to access the NVVM library, but CUDA 13 now provides NVVM as a separate wheel (nvidia-nvvm). Users who need the NVCC compiler should explicitly install it:pip install nvidia-cuda-nvccBenefits
Fixes #853.
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