code: def augment_img_tensor4(img, mode=0):
      """Kai Zhang (github: https://github.com/cszn)"""
      if mode == 0:
          return img
      elif mode == 1:
          return img.rot90(1, [2, 3]).flip([2])
      elif mode == 2:
          return img.flip([2])
      elif mode == 3:
          return img.rot90(3, [2, 3])
      elif mode == 4:
          return img.rot90(2, [2, 3]).flip([2])
      elif mode == 5:
          return img.rot90(1, [2, 3])
      elif mode == 6:
          return img.rot90(2, [2, 3])
      elif mode == 7:
          return img.rot90(3, [2, 3]).flip([2])
  
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 33 for calling a global function with example usage: augment_img_tensor4(img, mode) and returns: img, img, img, img, img, img, img, img