code: def test_plot_augmented_images_image_collate_function(self):
      # simclr collate function is a subclass of the image collate function
      collate_function = collate.SimCLRCollateFunction()
  
      for n_images in range(2, 10):
          with self.subTest():
              images = [
                  self._generate_random_image(100, 100, 3)
                  for _ in range(n_images)
              ]
              fig = debug.plot_augmented_images(
                  images, collate_function
              )
              self.assertIsNotNone(fig)
  
file_path: lightly/tests/utils/test_debug.py
imports: import math
  import unittest
  import numpy
  import torch
  from PIL import Image
  from lightly.data import collate
  from lightly.utils import debug
label_desc: Use image node_id 5 for calling the TestDebug obj's underlying member method code with example usage: obj.test_plot_augmented_images_image_collate_function() without return types