code: def __init__(
      self,
      border_size: int,
  ):
      super().__init__()
      self.border_size = border_size
  
imports: import math
  import numbers
  import random
  import warnings
  from typing import List, Sequence, Tuple, Union
  import torch
  import torchvision.transforms.functional
  from PIL import Image
  import numpy
label_desc: Use image node_id 1 to create a new TrimBorder object from inherited base classes: torch.nn with example: obj = TrimBorder(border_size)