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numpy 1.17 update: empty_like et. al now accept a shape argument
See original GitHub issueWe should update mygrad.empty_like, mygrad.ones_like, mygrad.zero_like, and mygrad.full_like to accept a shape argument.
This does, however raise a question. How do we handle the numpy versioning issue. E.g. If someone passes the shape parameter, but has numpy 1.16.X installed, do we raise an error? Do we hack our implementation so that it will work rain or shine?
@Zac-HD do you have any insight into how you have handled this sort of thing?
Issue Analytics
- State:
- Created 4 years ago
- Comments:5 (3 by maintainers)
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Given that this would only break people who update MyGrad, what do you think about just simultaneously bumping the min version of numpy to 1.17 in the PR that would make this change?
Or are you worried that there are people who can bump MyGrad but not numpy?
NumPy 1.17 is now the minimum version supported by MyGrad 2.0