code: def forward(self, x):
      word, lens, head_pos, tail_pos = (
          x["word"],
          x["lens"],
          x["head_pos"],
          x["tail_pos"],
      )
      inputs = self.embedding(word, head_pos, tail_pos)
      out, out_pool = self.bilstm(inputs, lens)
      output = self.fc(out_pool)
  
      return output
  
file_path: DeepKE/src/deepke/relation_extraction/standard/models/BiLSTM.py
imports: import os
  import sys
  import torch.nn
  from .None import BasicModule
  from module import Embedding, RNN
label_desc: Use image node_id 2 for calling the BiLSTM obj's underlying member method code with example usage: obj.forward(x) and returns: output