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I don't understand the Attention block size #3

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DBpackage opened this issue Nov 23, 2023 · 0 comments

DBpackage commented Nov 23, 2023

Hi, I appreciate your nice work!

I'm confused with model shape.

Captured from your paper.

Captured from your model.py

Since you told that f size is the number of filters of the last 1D-CNN layer,
in here, f should be self.conv * 4

Then, I think Wa size should be f x f, not 2f x f
Am I misunderstand it? or just typo?

sincerely,

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