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dohe0342 2023-01-09 11:27:04 +09:00
parent 6cc8b6fcd1
commit a2d4bd1cd9
2 changed files with 1 additions and 2 deletions
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egs/librispeech/ASR/pruned_transducer_stateless_gtrans/.conformer_randomcombine.py.swp
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egs/librispeech/ASR/pruned_transducer_stateless_gtrans/conformer_randomcombine.py
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@ -211,7 +211,6 @@ class Conformer(EncoderInterface):
) # (T, N, C) ) # (T, N, C)
x = x.permute(1, 0, 2) # (T, N, C) ->(N, T, C) x = x.permute(1, 0, 2) # (T, N, C) ->(N, T, C)
'''
layer_output = [x.permute(1, 0, 2) for x in layer_output] layer_output = [x.permute(1, 0, 2) for x in layer_output]
x = self.layer_norm(1/12*(self.sigmoid(self.alpha[0])*layer_output[0] + \ x = self.layer_norm(1/12*(self.sigmoid(self.alpha[0])*layer_output[0] + \
@ -236,7 +235,7 @@ class Conformer(EncoderInterface):
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) x = self.layer_norm(x/self.group_num)
'''
return x, lengths return x, lengths
@torch.jit.export @torch.jit.export