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Thanks for your contribution! I don't think we want to burn resources this much for pre-release software on a per-PR basis. Could you keep 3.15/3.15t to nightly-standard rows only?
Expanded nightly test coverage for CUDA 13.5 on arm64 and amd64 systems, including Python 3.15 and 3.15t configurations. The matrix includes A100 or L4 GPU configurations across these platform and Python combinations. These changes affect automated testing and do not introduce user-facing product features.
The Linux nightly-standard matrix adds five CUDA 13.5.0 test rows: four for Python 3.15 or 3.15t, and one for Python 3.14.
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ci/test-matrix.yml
ci/tools/download-wheels
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🎯 Functional Correctness | 🟡 Minor | ⚡ Quick win
suggestion: Route the amd64 entries to a nightly-standard job.
ci-nightly.yml runs nightly-standard only for linux-aarch64. The shared Linux workflow filters matrix entries by the requested architecture. These amd64 rows are therefore never selected and add no amd64 Python 3.15 or 3.15t test coverage. Add a linux-64 nightly-standard job or remove the unused rows. (raw.githubusercontent.com)
As per path instructions: “focus on matrix correctness” and “targeted build and test behavior.”
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Additional comments: 1
ci/test-matrix.yml-126-127: 1
126-127: Minor · Performance & Scalability · Quick win
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important: Avoid repeating the arm64 GPU jobs.
Lines 91 and 93 already run these configurations in the scheduled full CI. The nightly workflow repeats the standard tests on the same runner types, adding two GPU jobs without a distinct configuration. Remove these rows or use nightly-only configurations. (raw.githubusercontent.com)
As per path instructions: “avoid unnecessary expensive jobs.”
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CI/CDCI/CD infrastructurecuda.bindingsEverything related to the cuda.bindings modulecuda.coreEverything related to the cuda.core modulecuda.pathfinderEverything related to the cuda.pathfinder moduleP2Low priority - Nice to have
2 participants
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Description
closes #2163
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