old_contents: # Copyright 2020 The TensorFlow Authors. All Rights Reserved.
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #     http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  # ==============================================================================
  # pylint: disable=g-classes-have-attributes
  """Tests for layers.__init__."""
  
  import tensorflow.compat.v2 as tf
  from keras import layers
  
  
  class LayersTest(tf.test.TestCase):
  
    def test_keras_private_symbol(self):
      if tf.__internal__.tf2.enabled():
        normalization_parent = layers.Normalization.__module__.split('.')[-1]
        self.assertEqual('normalization', normalization_parent)
        self.assertTrue(layers.BatchNormalization._USE_V2_BEHAVIOR)
      else:
        self.assertFalse(layers.BatchNormalization._USE_V2_BEHAVIOR)
  
  
  if __name__ == '__main__':
    tf.test.main()
  
new_contents: # Copyright 2020 The TensorFlow Authors. All Rights Reserved.
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #     http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  # ==============================================================================
  # pylint: disable=g-classes-have-attributes
  """Tests for layers.__init__."""
  
  from keras import layers
  import tensorflow.compat.v2 as tf
  
  
  class LayersTest(tf.test.TestCase):
  
    def test_keras_private_symbol(self):
      normalization_parent = layers.BatchNormalization.__module__.split('.')[-1]
      if tf.__internal__.tf2.enabled():
        self.assertEqual('batch_normalization', normalization_parent)
        self.assertTrue(layers.BatchNormalization._USE_V2_BEHAVIOR)
      else:
        self.assertEqual('batch_normalization_v1', normalization_parent)
        self.assertFalse(layers.BatchNormalization._USE_V2_BEHAVIOR)
  
  
  if __name__ == '__main__':
    tf.test.main()
  
subject: Update the layers_test to verify against the layers we want.