code: def __init__(self, input_size, fill=0):
      self.input_size = input_size
      self.fill = fill
  
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 RandomPad object  with example: obj = RandomPad(input_size, fill)