Update third party tests - #3023
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antonwolfy wants to merge 16 commits into
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antonwolfy
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Aug 13, 2026
antonwolfy
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- Have you provided a meaningful PR description?
- Have you added a test, reproducer or referred to an issue with a reproducer?
- Have you tested your changes locally for CPU and GPU devices?
- Have you made sure that new changes do not introduce compiler warnings?
- Have you checked performance impact of proposed changes?
- Have you added documentation for your changes, if necessary?
- Have you added your changes to the changelog?
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View rendered docs @ https://intelpython.github.io/dpnp/pull/3023/index.html |
antonwolfy
marked this pull request as ready for review
August 13, 2026 12:32
antonwolfy
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ndgrigorian and
vlad-perevezentsev
as code owners
August 13, 2026 12:32
antonwolfy
marked this pull request as draft
August 13, 2026 12:32
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|
Array API standard conformance tests for dpnp=0.21.0dev11=py314ha0e2e8e_23 ran successfully. |
Collaborator
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coverage: 78.622% (+0.01%) from 78.609% — update-third-party-tests into master |
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test_cum{sum,prod}_axis_batch_kernels hardcoded float64 inputs, which
dpnp downcasts to float32 on devices without fp64 support while NumPy
keeps float64 -- tripping the allclose dtype check and, for cumprod,
diverging by percent-level near float32 underflow along long axes.
Build both sides at cupy.default_float_type() so they compute at the
same precision, and relax cumprod to rtol=1e-5/atol=1e-6 to absorb
float32 scan rounding.
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