code: def forward(self, img):
      w, h = F.get_image_size(img)
      top = left = self.border_size
      top = min(top, h)
      left = min(left, h)
      height = max(0, h - 2 * self.border_size)
      width = max(0, w - 2 * self.border_size)
      return F.crop(img, top, left, height, width)
  
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 2 for calling the TrimBorder obj's underlying member method code with example usage: obj.forward(img) and returns: F