code: def _transfer(self, e, e_transfer, r_transfer):
      if e.shape[0] != r_transfer.shape[0]:
          e = e.view(-1, r_transfer.shape[0], e.shape[-1])
          e_transfer = e_transfer.view(
              -1, r_transfer.shape[0], e_transfer.shape[-1]
          )
          r_transfer = r_transfer.view(
              -1, r_transfer.shape[0], r_transfer.shape[-1]
          )
          e = F.normalize(
              self._resize(e, -1, r_transfer.size()[-1])
              + torch.sum(e * e_transfer, -1, True) * r_transfer,
              p=2,
              dim=-1,
          )
          return e.view(-1, e.shape[-1])
      else:
          return F.normalize(
              self._resize(e, -1, r_transfer.size()[-1])
              + torch.sum(e * e_transfer, -1, True) * r_transfer,
              p=2,
              dim=-1,
          )
  
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 4 for calling the TransD obj's underlying member method code with example usage: obj._transfer(e, e_transfer, r_transfer) and returns: e, F