code: def test_serialization(self):
      loss_scale = loss_scale_module.DynamicLossScale(
          initial_loss_scale=1, increment_period=2, multiplier=3
      )
      config = loss_scale.get_config()
      loss_scale = loss_scale_module.DynamicLossScale.from_config(
          config
      )
      self.evaluate(variables.global_variables_initializer())
      self.assertEqual(self.evaluate(loss_scale()), 1)
      self.assertEqual(loss_scale.increment_period, 2)
      self.assertEqual(loss_scale.multiplier, 3)
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.distribute import distribute_lib
  from tensorflow.python.distribute import mirrored_strategy
  from tensorflow.python.eager import context
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import check_ops
  from tensorflow.python.ops import cond
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
  from tensorflow.python.training.experimental import loss_scale
label_desc: Use image node_id 14 for calling the DynamicLossScaleTest obj's underlying member method code with example usage: obj.test_serialization() without return types