code: def forward(self, data):
      batch_h = data["batch_h"]
      batch_t = data["batch_t"]
      batch_r = data["batch_r"]
      mode = data["mode"]
      h = self.ent_embeddings(batch_h)
      t = self.ent_embeddings(batch_t)
      r = self.rel_embeddings(batch_r)
      h_transfer = self.ent_transfer(batch_h)
      t_transfer = self.ent_transfer(batch_t)
      r_transfer = self.rel_transfer(batch_r)
      h = self._transfer(h, h_transfer, r_transfer)
      t = self._transfer(t, t_transfer, r_transfer)
      score = self._calc(h, t, r, mode)
      if self.margin_flag:
          return self.margin - score
      else:
          return score
  
file_path: OpenKE/openke/module/model/TransD.py
imports: import torch
  import torch.nn
  import torch.nn.functional
  from .Model import Model
label_desc: Use image node_id 5 for calling the TransD obj's underlying member method code with example usage: obj.forward(data) and returns: unknown, score