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Add inplace support of divide #1434

Merged
merged 2 commits into from
Jun 14, 2023
Merged

Add inplace support of divide #1434

merged 2 commits into from
Jun 14, 2023

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antonwolfy
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@antonwolfy antonwolfy commented Jun 14, 2023

The PR implements a workaround solution until in-place support of divide is provided by dpctl.
And it adds an exception when subtracting two boolean arrays (later in might be move to dpctl).

Additionally the changes includes unmuting of dpnp tests where in-place operations were used before.

  • 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?

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It works for #1431
Thanks @antonwolfy

@antonwolfy antonwolfy merged commit c51b3ce into master Jun 14, 2023
@antonwolfy antonwolfy deleted the add_inplace_wa_divide branch June 14, 2023 14:33
antonwolfy added a commit that referenced this pull request Jun 15, 2023
* Add a copy for strided arrays in dpnp.dot()

* update versions

* Rework transpose methods to use dpctl.tensor functions (#1389)

* Rework transpose methods to call dpctl.tensor functions

* Applied review comments & added more tests

* Obtain a proper result type on device without fp64 (#1429)

* Obtain a proper result type on device without fp64

* remove excess defenitions

* Reuse dpctl.tensor.reshape (#1391)

* Rework transpose methods to call dpctl.tensor functions

* Reuse dpctl.tensor.reshape

* added dpnp.shape() and unmuted more tests

* fixed compiling issue & unmuted reshaper tests with order param

* Resolve merge issues

* resolve type mismatch on Win

* Use MCG59 engine on GPU device (#1423)

* Use MCG59 engine on GPU device

* Fix issue for Windows

* reduce precision in tests

* move w/a before import dpctl

* Reuse add(), multiply() and subtract() from dpctl (#1430)

* Reuse add(), multiply() and subtract() from dpctl

* add in-place support

* Reuse dpctl.tensor.sum for dpnp.sum (#1426)

* Reuse dpctl.tensor.sun for dpnp.sum

* Update tests for dpnp.sum

* Fix remarks

* Update tests/third_party/cupy/testing/helper.py

---------

Co-authored-by: Anton <100830759+antonwolfy@users.noreply.github.com>

* Workaround to Klocwork (#1433)

* Add inplace support of divide (#1434)

* Add dpnp.result_type() support (#1435)

* Add dpnp.result_type() support

* Update dpnp/dpnp_iface_manipulation.py

Co-authored-by: Natalia Polina <natalia.polina@intel.com>

---------

Co-authored-by: Natalia Polina <natalia.polina@intel.com>

* Implementation of dpnp.mean() (#1431)

* Reuse dpctl.tensor.sun for dpnp.sum

* Update tests for dpnp.sum

* Fix remarks

* Implementation of dpnp.mean

* Update logic for dpnp.mean function

* add normalize_axis_tuple

* Additional tests for dpnp.mean

* Fix minor remarks

* Add inplace support of divide

* Use inplace divide only for dpnp.inexact types

* Update tests for dpnp.mean

* Skip test_sample.py::TestRandint2::test_bound_float1

* Remove unused import

* Update dtype check

* Update dpnp/dpnp_iface_statistics.py

* Return deleted skips

---------

Co-authored-by: Anton Volkov <antonwolfy@gmail.com>
Co-authored-by: Anton <100830759+antonwolfy@users.noreply.github.com>

* New implementation of dpnp.outer (#1436)

* Add a new implementation of dpnp.outer

* Update dpnp.outer implementation

---------

Co-authored-by: Anton <100830759+antonwolfy@users.noreply.github.com>

* Set dpnp dependency on dpctl>=0.14.3 (#1437)

* Implement dpnp.cov() though existing dpnp methods (#1396)

* Implement dpnp.cov() though existing dpnp methods

* Applied review comments

* Clean up the code to get rid of todo

* use dpnp.mean()

* Added ChangeLog.md (#1439)

* Added ChangeLog.md

* exclude PR for comprasion ops

* Update version to 0.12.0 (#1440)

---------

Co-authored-by: vlad-perevezentsev <vladislav.perevezentsev@intel.com>
Co-authored-by: Natalia Polina <natalia.polina@intel.com>
antonwolfy added a commit that referenced this pull request Jun 15, 2023
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2 participants