code: def _transfer(self, e, norm):
      norm = F.normalize(norm, p=2, dim=-1)
      if e.shape[0] != norm.shape[0]:
          e = e.view(-1, norm.shape[0], e.shape[-1])
          norm = norm.view(-1, norm.shape[0], norm.shape[-1])
          e = e - torch.sum(e * norm, -1, True) * norm
          return e.view(-1, e.shape[-1])
      else:
          return e - torch.sum(e * norm, -1, True) * norm
  
file_path: OpenKE/openke/module/model/TransH.py
imports: import torch
  import torch.nn
  import torch.nn.functional
  from .Model import Model
label_desc: Use image node_id 3 for calling the TransH obj's underlying member method code with example usage: obj._transfer(e, norm) and returns: e, unknown