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@ -202,14 +202,18 @@ class Conformer(EncoderInterface):
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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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layer_output = [x.permute(1, 0, 2) for x in layer_output]
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'''
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x = self.layer_norm(1/4*(self.sigmoid(self.alpha[0])*layer_output[2] + \
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self.sigmoid(self.alpha[1])*layer_output[5] + \
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self.sigmoid(self.alpha[2])*layer_output[8] + \
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self.sigmoid(self.alpha[3])*layer_output[11]
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)
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)
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'''
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x = layer_output[2]
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return x, lengths
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@torch.jit.export
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