code: def test_auto_num_layers(self) -> None:
      for img_size in [3, 7, 11, 23, 37, 53]:
          for min_size in [1, 2, 4, 8]:
              if min_size > img_size:
                  continue
              num_layers = auto_num_layers(img_size, min_size, None)
              if num_layers == 0:
                  self.assertTrue(img_size < 2 * min_size)
  
file_path: carefree-learn/tests/test_toolkit.py
imports: import torch
  import unittest
  from cftool.array import corr
  from cftool.array import allclose
  from cflearn.misc.toolkit import auto_num_layers
label_desc: Use image node_id 1 for calling the TestToolkit obj's underlying member method code with example usage: obj.test_auto_num_layers() without return types