Add support for broadcasting to linalg.cross
#417
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kgryte
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As this PR has been discussed (see #415 (comment)) and met with approval in consortium meetings and now that PyTorch has now added support for broadcasting, will merge. We can submit follow-up PRs if the specification needs further changes/refinement. |
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This PR
linalg.cross#415 by adding support for broadcasting tolinalg.cross. Broadcasting follows NumPy behavior in only broadcasting the non-compute dimensions. With the exception of TensorFlow, this behavior is consistent (or will be after PyTorch addresses its broadcasting behavior) among array libraries.vecdotto matchlinalg.crossin being more explicit that broadcasting only applies to non-broadcast dimensions.linalg.crossin line with linear algebra design principles in which linear algebra APIs commonly support batching.