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@ -211,7 +211,7 @@ class Conformer(EncoderInterface):
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) # (T, N, C)
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) # (T, N, C)
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x = x.permute(1, 0, 2) # (T, N, C) ->(N, T, C)
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x = x.permute(1, 0, 2) # (T, N, C) ->(N, T, C)
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'''
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layer_output = [x.permute(1, 0, 2) for x in layer_output]
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layer_output = [x.permute(1, 0, 2) for x in layer_output]
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x = self.layer_norm(1/12*(self.sigmoid(self.alpha[0])*layer_output[0] + \
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x = self.layer_norm(1/12*(self.sigmoid(self.alpha[0])*layer_output[0] + \
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@ -228,12 +228,14 @@ class Conformer(EncoderInterface):
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self.sigmoid(self.alpha[11])*layer_output[11]
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self.sigmoid(self.alpha[11])*layer_output[11]
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)
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)
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)
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)
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'''
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#x = 0
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layer_outputs = [x.permute(1, 0, 2) for x in layer_outputs]
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#for enum, alpha in enumerate(self.alpha):
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# x += self.sigmoid(alpha)*layer_output[enum]
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x = 0
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for enum, alpha in enumerate(self.alpha):
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#x = self.layer_norm((1/self.group_size)*x)
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x += self.sigmoid(alpha*layer_outputs[(enum+1)*self.group_layer_num-1])
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x = self.layer_norm(x/self.group_num)
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return x, lengths
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return x, lengths
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