code: def test_config(self):
      layer = minibatch_standarddeviation.MiniBatchStandardDeviation(
          channel_axis=3, batch_axis=2
      )
  
      config = layer.get_config()
  
      expected_child_config = {
          "batch_axis": 2,
          "channel_axis": 3,
      }
  
      expected_super_config = super(
          minibatch_standarddeviation.MiniBatchStandardDeviation, layer
      ).get_config()
      expected_config = dict(
          list(expected_child_config.items())
          + list(expected_super_config.items())
      )
  
      self.assertEqual(config, expected_config)
  
file_path: graphics/tensorflow_graphics/projects/gan/minibatch_standarddeviation_test.py
imports: import tensorflow
  from tensorflow_graphics.projects.gan import minibatch_standarddeviation
  from tensorflow_graphics.util import test_case
label_desc: Use image node_id 6 for calling the MinibatchStandarddeviationTest obj's underlying member method code with example usage: obj.test_config() without return types