code: def _resize(self, tensor, axis, size):
      shape = tensor.size()
      osize = shape[axis]
      if osize == size:
          return tensor
      if osize > size:
          return torch.narrow(tensor, axis, 0, size)
      paddings = []
      for i in range(len(shape)):
          if i == axis:
              paddings = [0, size - osize] + paddings
          else:
              paddings = [0, 0] + paddings
      print(paddings)
      return F.pad(tensor, paddings=paddings, mode="constant", value=0)
  
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 2 for calling the TransD obj's underlying member method code with example usage: obj._resize(tensor, axis, size) and returns: F, tensor, torch