code: def augment_img_np3(img, mode=0):
      if mode == 0:
          return img
      elif mode == 1:
          return img.transpose(1, 0, 2)
      elif mode == 2:
          return img[::-1, :, :]
      elif mode == 3:
          img = img[::-1, :, :]
          img = img.transpose(1, 0, 2)
          return img
      elif mode == 4:
          return img[:, ::-1, :]
      elif mode == 5:
          img = img[:, ::-1, :]
          img = img.transpose(1, 0, 2)
          return img
      elif mode == 6:
          img = img[:, ::-1, :]
          img = img[::-1, :, :]
          return img
      elif mode == 7:
          img = img[:, ::-1, :]
          img = img[::-1, :, :]
          img = img.transpose(1, 0, 2)
          return img
  
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 35 for calling a global function with example usage: augment_img_np3(img, mode) and returns: img, img, img, img, img, img, img, img