code: def _parse_pad_padding(padding: Union[int, List[int]]) -> List[int]:
      if isinstance(padding, int):
          if torch.jit.is_scripting():
              # This maybe unreachable
              raise ValueError(
                  "padding can't be an int while torchscripting, set it as a list [value, ]"
              )
          pad_left = pad_right = pad_top = pad_bottom = padding
      elif len(padding) == 1:
          pad_left = pad_right = pad_top = pad_bottom = padding[0]
      elif len(padding) == 2:
          pad_left = pad_right = padding[0]
          pad_top = pad_bottom = padding[1]
      else:
          pad_left = padding[0]
          pad_top = padding[1]
          pad_right = padding[2]
          pad_bottom = padding[3]
  
      return [pad_left, pad_right, pad_top, pad_bottom]
  
imports: import warnings
  from typing import List, Optional, Tuple, Union
  import torch
  from torch import Tensor
  from torch.nn.functional import conv2d, grid_sample, interpolate, pad
label_desc: Use image node_id 22 for calling a global function with example usage: _parse_pad_padding(padding) and returns: list