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Implement co-broadcasting #11

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bluss opened this issue Dec 17, 2015 · 1 comment

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bluss commented Dec 17, 2015 •

edited

See http://docs.scipy.org/doc/numpy-1.10.1/user/basics.broadcasting.html

A more general form of broadcasting, it's like two-sided broadcasting, broadcast to a common shape that's not the same as either left or right shape.

In #898 - internal function co_broadcast, but available externally for arithmetic ops.

Make available as a public interface.

bluss mentioned this issue

Could not broadcast array from shape: [2] to: [2, 1] #76

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jturner314 mentioned this issue

Broadcasting limitations / Custom strides? #437

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jturner314 mentioned this issue

Use ArrayD as the return value of operator overloading functions #896

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nilgoyette commented May 17, 2023

Closing this issue

it is unclear to me what "co-broadcasting" is, but I guess it's identical to "broadcasting"
we already support broadcasting, or at least some parts of what numpy supports. Fell free to open another issue with a more precise request.

nilgoyette closed this as completed

bluss reopened this

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