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Add support for subclassing cupy.ndarray

See original GitHub issue


Many projects (including mine) use subclasses of numpy.ndarray, like this:

class Field(np.ndarray):
    def __new__(cls, data, prefix=1):
        data = np.asarray(data)
        field = data.view(cls)
        field.prefix = prefix
        return field

    def __array_finalize__(self, field):
        if field is None:
        self.prefix = getattr(field, 'prefix', 1)

If one tries to use cupy.ndarray as a numpy replacement, then at creation of the Field instance an error is raised:

AttributeError: 'cupy.core.core.ndarray' object has no attribute 'prefix'

Are there plans to support in cupy subclassing similar to numpy approach? Maybe some workarounds are possible currently?

Regards, Marek

Issue Analytics

  • State:closed
  • Created 3 years ago
  • Reactions:1
  • Comments:15 (14 by maintainers)

github_iconTop GitHub Comments

takagicommented, Jul 4, 2022

I’m trying to realize cupy.ndarray subclassing by workaround1 in the gist The following TODO is for managing its progress.

  • Direct constructor call #6716
  • View casting #6720
  • New from template
    • ufuncs
    • ndarray methods
    • routines (this part includes many things and is to be expanded)
  • documentation
takagicommented, Jul 4, 2022


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