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@antonwolfy antonwolfy commented Jul 26, 2024

The PR proposes to rework implementation of dpnp.unwrap function which are quite limited now.
Added support for all keywords provided by numpy.unwrap.

The page with a table of mathematical functions is aligned with actual numpy content.
The all affected tests are updated to cover different use cases.

  • Have you provided a meaningful PR description?
  • Have you added a test, reproducer or referred to 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?
  • If this PR is a work in progress, are you filing the PR as a draft?

@antonwolfy antonwolfy self-assigned this Jul 26, 2024
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github-actions bot commented Jul 26, 2024

View rendered docs @ https://intelpython.github.io/dpnp/index.html

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The timing on PVC with the following example:

a = numpy.random.rand(10**6).astype(dtype) * 1000
_ = numpy.unwrap(a, period=355)

ia = dpnp.array(a)
b = dpnp.unwrap(ia, period=355); b.sycl_queue.wait()

in the table below

dtype numpy dpnp CPU dpnp GPU
f8 30.8 ms 14.9 ms 1.97 ms
f4 27.6 ms 11.5 ms 1.39 ms
i8 11.8 ms 11.2 ms 1.96 ms
i4 11.2 ms 8.63 ms 1.31 ms

@vlad-perevezentsev vlad-perevezentsev self-requested a review August 2, 2024 17:20
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Looks good!
Thank you @antonwolfy

@antonwolfy antonwolfy merged commit d2c623b into master Aug 2, 2024
@antonwolfy antonwolfy deleted the impl-unwrap branch August 2, 2024 17:23
github-actions bot added a commit that referenced this pull request Aug 2, 2024
* Align doc page of Mathematical functions with numpy

* Implement dpnp.unwrap() function

* Enable muted tests

* Add more tests

* Resolve pre-commit issue

* Apply suggestions from code review

Co-authored-by: vtavana <[email protected]>

* Replace dpnp.copyto with dpnp.where

---------

Co-authored-by: vtavana <[email protected]> d2c623b
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3 participants