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dohe0342 2023-02-02 14:16:38 +09:00
parent b67c078fb4
commit 685aaf5c7b
4 changed files with 2 additions and 2 deletions
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egs/aishell/ASR/conformer_ctc/.transformer.py.swp
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egs/aishell/ASR/conformer_ctc/transformer.py
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@ -224,7 +224,7 @@ class Transformer(nn.Module):
x = x.permute(1, 0, 2) # (N, T, C) -> (T, N, C)
mask = encoder_padding_mask(x.size(0), supervisions)
mask = mask.to(x.device) if mask is not None else None
x, layer_outputs= self.encoder(x, src_key_padding_mask=mask) # (T, N, C)
x, layer_outputs = self.encoder(x, src_key_padding_mask=mask) # (T, N, C)
return x, mask

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egs/librispeech/ASR/pruned_transducer_stateless_gtrans/.conformer.py.swp
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egs/librispeech/ASR/pruned_transducer_stateless_gtrans/conformer.py
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@ -205,7 +205,7 @@ class Conformer(EncoderInterface):
x = 0
for enum, alpha in enumerate(self.alpha):
x += self.sigmoid(alpha*layer_outputs[(enum+1)*self.group_layer_num-1])
x += self.sigmoid(alpha)*layer_outputs[(enum+1)*self.group_layer_num-1]
x = self.layer_norm(x/self.group_num)