code: def get_mean_image(crop_size):
      """
      Helper function that returns a gray PIL image of the size specified by user.
  
      Args:
          crop_size (int): used to generate (crop_size x crop_size x 3) image.
  
      Returns:
          img: PIL Image
      """
      img = Image.fromarray(
          128 * np.ones((crop_size, crop_size, 3), dtype=np.uint8)
      )
      return img
  
imports: import contextlib
  import logging
  import queue
  from typing import Dict, List
  import numpy
  import torch
  from PIL import Image
  from torch.utils.data import Dataset
  from torch.utils.data.distributed import DistributedSampler
label_desc: Use image node_id 1 for calling a global function with example usage: get_mean_image(crop_size) and returns: img