code: def forward(self, x):
      word, lens, head_pos, tail_pos, adj = (
          x["word"],
          x["lens"],
          x["head_pos"],
          x["tail_pos"],
          x["adj"],
      )
  
      inputs = self.embedding(word, head_pos, tail_pos)
      output = self.gcn(inputs, adj)
      output = output.max(dim=1)[0]
      output = self.fc(output)
  
      return output
  
file_path: DeepKE/src/deepke/relation_extraction/standard/models/GCN.py
imports: import os
  import sys
  import torch
  import torch.nn
  from .None import BasicModule
  from module import Embedding
  from module import GCN
  from utils import seq_len_to_mask
label_desc: Use image node_id 2 for calling the GCN obj's underlying member method code with example usage: obj.forward(x) and returns: output