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Check dtype support of each array in resulting tuple in call_origin #1457

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vlad-perevezentsev
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@vlad-perevezentsev vlad-perevezentsev commented Jun 27, 2023

The call_origin function does not check the resulting array dtype and its support by device after numpy function is called when the result is tuple of arrays so ValueError error was raised when running on Iris Xe.

import dpnp
h, e = dpnp.histogram([1, 2], bins=1)
ValueError: Device Intel(R) Graphics does not provide native support for double-precision floating point type.

This PR adds the use of map_dtype_to_device function for each dtype of array from the resulting tuple.

  • 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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Btw LGTM! thank you @vlad-perevezentsev

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@vlad-perevezentsev vlad-perevezentsev merged commit a1a9b14 into IntelPython:master Jun 29, 2023
@vlad-perevezentsev vlad-perevezentsev deleted the fix_call_origin branch June 29, 2023 09:50
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2 participants