code: def hybrid_forward(self, F, sentence1, sentence2):
          
          feature1 = self.lin_proj(self.word_emb(sentence1))
          feature2 = self.lin_proj(self.word_emb(sentence2))
          if self.use_intra_attention:
              feature1 = F.concat(feature1, self.intra_attention(feature1), dim=-1)
              feature2 = F.concat(feature2, self.intra_attention(feature2), dim=-1)
          pred = self.model(feature1, feature2)
          return pred
docs: Predict the relation of two sentences.
  
          Parameters
          ----------
          sentence1 : NDArray
              Shape (batch_size, length)
          sentence2 : NDArray
              Shape (batch_size, length)
  
          Returns
          -------
          pred : NDArray
              Shape (batch_size, num_classes). num_classes == 3.