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Hard gumbel softmax during training AIM? #48

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tedhuang96 opened this issue May 17, 2021 · 0 comments

tedhuang96 commented May 17, 2021

I am confused with this line of code. If hard is set as True even for training, how can the gradient flow back through AIM module in backprop?

AS-GCN/net/utils/adj_learn.py

Line 264 in ab6951c

self.edges = gumbel_softmax(self.logits, tau=0.5, hard=True)

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