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@ -350,6 +350,7 @@ class NeatContextualParaformer(Paraformer):
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else:
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hw_embed = self.bias_embed(hw_list_pad)
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hw_embed, (h_n, _) = self.bias_encoder(hw_embed)
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hw_embed = h_n.repeat(encoder_out.shape[0], 1, 1)
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else:
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hw_lengths = [len(i) for i in hw_list]
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hw_list_pad = pad_list([torch.Tensor(i).long() for i in hw_list], 0).to(encoder_out.device)
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