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[WIP] There are a few cuda-bindings PR that are merged recently and part of this milestone https://github.com/NVIDIA/cuda-python/milestone/14, but they missed release notes. Could you make sure the cuda-bindings release note is up to date?
Update cuda-bindings release notes for missing milestone 14 improvements
Aug 21, 2025
…e redundant content Co-authored-by: leofang <5534781+leofang@users.noreply.github.com>
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Update cuda-bindings release notes for missing milestone 14 improvements
Create new cuda-bindings release note files for missing milestone 14 improvements
Aug 21, 2025
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Aug 21, 2025
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Thanks, @copilot. One last thing, the new rst files need to be linked in cuda_bindings/docs/source/release.rst (or .md, I forget) so that they are rendered by Sphinx. You know what to do 🙂
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Added both new release note files to the Sphinx toctree in |
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Create new cuda-bindings release note files for missing milestone 14 improvements
Create new cuda-bindings release note files for missing milestone 14 improvements and link them in documentation
Aug 21, 2025
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Aug 21, 2025
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Aug 21, 2025
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This PR creates new cuda-bindings release note files to document missing improvements that were part of milestone 14 but were not included in the release notes, and ensures they are properly linked in the Sphinx documentation system.
Problem
Several important PRs merged as part of milestone 14 were missing from the cuda-bindings release notes:
These improvements significantly enhance the installation experience but were not reflected in the release documentation. Additionally, the new release note files needed to be properly linked in the Sphinx documentation system for rendering.
Solution
Created new release note files following the proper naming convention for future releases:
12.9.X-notes.rst- Documents the automatic CUDA library path detection feature for the next 12.9 series release13.X.Y-notes.rst- Documents the same feature for the next 13.x series releaseBoth files have been added to the Sphinx toctree in
release.rstto ensure proper documentation rendering. The new files highlight the key improvement: automatic CUDA library path detection based onCUDA_HOME, which eliminates the need to manually setLIBRARY_PATHenvironment variables for installation.Impact
Users will have accurate and complete release documentation for future versions that reflects all the installation improvements delivered in milestone 14. The documentation now properly informs users about the elimination of manual
LIBRARY_PATHsetup requirements and improved installation robustness through automatic CUDA library detection. The files are now properly integrated into the documentation build system and will be rendered by Sphinx.✨ Let Copilot coding agent set things up for you — coding agent works faster and does higher quality work when set up for your repo.