Comments (2)
copyrightly
commented on September 27, 2024
One more question, in line 91, why do you self.register_parameter("weight", self.weight)? It seems that self.weight is an empty tensor which isn't needed in the computation.
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happyday521
commented on September 27, 2024
@copyrightly Hi, have you solved the above problems? I have the same confusion as you about:
- dividing g by (2 * math.pi * sigma ** 2), and
- self.register_parameter("weight", self.weight)
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Related Issues (14)
- Minor modifications HOT 3
- Remove numbers
- Vectorize kernel creation
- Add tests cases to check that in eval mode params stays the same
- Make weights fixed in eval mode HOT 2
- Add test cases to check that in train mode params change
- Deal with sanity_check code HOT 1
- A question about making weights fixed in the eval mode
- Difference between layers HOT 1
- Add poetry as dependency manager
- Remove codecov label from readme.md
- Add simple test case to test perfomance
- Remove private class inheritance
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