Fix a small bug in the attention bias calculation when flash attention is not available #398
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vhmth
suggested changes
Jul 2, 2024
| att = F.softmax(att, dim=-1) | ||
| att = self.attn_dropout(att) | ||
| att = self.attn_dropout(att) if self.training else att |
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I believe this shouldn't be necessary since nn.Dropout will not apply dropout if self.training = True.
Dropout source: https://pytorch.org/docs/stable/_modules/torch/nn/modules/dropout.html#Dropout
Which calls F.dropout:
https://pytorch.org/docs/stable/generated/torch.nn.functional.dropout.html
Notice it takes a training arg which comes from nn.Dropout's self.training state.
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Fix a small bug in the attention bias calculation when flash attention is not available.