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Description
This PR fixes a bug in
slice_like
operator, where, if the first input is constant, the backward pass of this operator would not fill the gradient to the second input with zeros, instead passing random memory contents.Checklist
Essentials
Please feel free to remove inapplicable items for your PR.
Changes
Comments
slice_like
is used in anchor generator (/~https://github.com/dmlc/gluon-cv/blob/master/gluoncv/model_zoo/ssd/anchor.py#L70):where the work around was to multiply the second input by 0 (effectively zeroing the gradient). With this PR, this work around is not needed anymore (and it is also not fully safe - NaNs and Infs in the memory returned from SliceLikeBackward would produce NaNs when multiplied by 0 and so would still break the training). @zhreshold FYI
@eric-haibin-lin