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Good afternoon, I have been working on your implementation of Variational Dropout and something seems weird to me in the forward pass
# Clip alpha self.log_alpha.data = torch.clamp(self.log_alpha.data, max=self.max_alpha) alpha = self.log_alpha.exp()
The code above seems to clamp the log of alpha and not the alpha itself which is not what we expect. Do I misinterpret you code or the theory here ?
The text was updated successfully, but these errors were encountered:
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Good afternoon,
I have been working on your implementation of Variational Dropout and something seems weird to me in the forward pass
The code above seems to clamp the log of alpha and not the alpha itself which is not what we expect. Do I misinterpret you code or the theory here ?
The text was updated successfully, but these errors were encountered: