code: def flip_images(img):
      assert (
          len(img.shape) == 4
      ), "images has to be [batch_size, channels, height, width]"
      img = torch.flip(img, dims=[3])
      return img
  
imports: import math
  import random
  from typing import Tuple
  import cv2
  import numpy
  import torch
  from torchvision.transforms import functional
  import matplotlib.pyplot
label_desc: Use image node_id 1 for calling a global function with example usage: flip_images(img) and returns: img