Comments (1)
XuezheMax
commented on May 27, 2024
Hi Edaward,
The reason we use Dropout2D instead of Dropout is that we want to drop the whole token (word, pos, ...). It means that if we drop the token, we drop the whole embedding of it rather than some neurons of it. The reason I did the transpose before dropout is that I made sure that the dimension I want to drop is at the desired position.
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Related Issues (20)
- RuntimeError: maximum recursion depth exceeded (python3+torch0.4) HOT 4
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- Error Analysis
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