code: def augment_img(img, mode=0):
      """Kai Zhang (github: https://github.com/cszn)"""
      if mode == 0:
          return img
      elif mode == 1:
          return np.flipud(np.rot90(img))
      elif mode == 2:
          return np.flipud(img)
      elif mode == 3:
          return np.rot90(img, k=3)
      elif mode == 4:
          return np.flipud(np.rot90(img, k=2))
      elif mode == 5:
          return np.rot90(img)
      elif mode == 6:
          return np.rot90(img, k=2)
      elif mode == 7:
          return np.flipud(np.rot90(img, k=3))
  
imports: import os
  import math
  import random
  import numpy
  import torch
  import cv2
  from torchvision.utils import make_grid
  from datetime import datetime
label_desc: Use image node_id 32 for calling a global function with example usage: augment_img(img, mode) and returns: img, np, np, np, np, np, np, np