message: Add the test case
diff: @@ -18,6 +18,8 @@ from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  +import numpy as np
  +
  from tensorflow.python import keras
  from tensorflow.python.platform import test
  @@ -298,6 +300,53 @@ class SerializeKerasObjectTest(test.TestCase):
  self.assertEqual(new_layer.units, 3)
  self.assertIs(new_layer.units.fn, serializable_fn)
  + def test_serializable_with_old_config(self):
  + # model config generated by tf-1.2.1
  + old_model_config = {
  + 'class_name': 'Sequential',
  + 'config': [
  + {
  + 'class_name': 'Dense',
  + 'config': {
  + 'name': 'dense_1',
  + 'trainable': True,
  + 'batch_input_shape': [
  + None,
  + 784
  + ],
  + 'dtype': 'float32',
  + 'units': 32,
  + 'activation': 'linear',
  + 'use_bias': True,
  + 'kernel_initializer': {
  + 'class_name': 'Ones',
  + 'config': {
  + 'dtype': 'float32'
  + }
  + },
  + 'bias_initializer': {
  + 'class_name': 'Zeros',
  + 'config': {
  + 'dtype': 'float32'
  + }
  + },
  + 'kernel_regularizer': None,
  + 'bias_regularizer': None,
  + 'activity_regularizer': None,
  + 'kernel_constraint': None,
  + 'bias_constraint': None
  + }
  + }
  + ]
  + }
  + old_model = keras.utils.generic_utils.deserialize_keras_object(
  + old_model_config, module_objects={'Sequential': keras.Sequential})
  + new_model = keras.Sequential(
  + [keras.layers.Dense(32, input_dim=784, kernel_initializer='Ones'),])
  + input_data = np.random.normal(2, 1, (5, 784))
  + output = old_model.predict(input_data)
  + expected_output = new_model.predict(input_data)
  + self.assertAllEqual(output, expected_output)
  class SliceArraysTest(test.TestCase):
  