code: def get_config(self):
      config = {
          "optimizer": tf.keras.optimizers.serialize(self._optimizer),
      }
      base_config = super().get_config()
      return {**base_config, **config}
  
imports: import abc
  import warnings
  import tensorflow
  from tensorflow_addons.optimizers import KerasLegacyOptimizer
  from tensorflow_addons.utils import types
  from typeguard import typechecked
label_desc: Use image node_id 12 for calling the AveragedOptimizerWrapper obj's underlying member method code with example usage: obj.get_config() and returns: dict