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pad 1 without 0.01 weight for exp

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This commit is contained in:
Mingshuang Luo 2022-02-07 11:07:57 +08:00
parent 7df98eb000
commit bdf02f69d6
1 changed files with 2 additions and 2 deletions
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egs/librispeech/ASR/conformer_ctc/conformer.py
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@ -265,8 +265,8 @@ class ConformerEncoderLayer(nn.Module):
if self.normalize_before:
src = self.norm_conv_abs(src)
#src = self.linear1(src*0.25)
src = 0.01*self.linear1(src*0.25)
#src = 0.01*self.linear1(src*0.25)
src = self.linear1(src*0.25)
src = torch.exp(src.clamp(min=-75, max=75))
src = src.permute(1, 2, 0) # (B, D, T)
src = src.permute(0, 2, 1) # (B, T, D)