code: def record_object_after_serialization(obj, config):
      """Call after serializing an object, to keep track of its config."""
      if config["module"] == "__main__":
          config[
              "module"
          ] = None  # Ensures module is None when no module found
      id_to_config_map = global_state.get_global_attribute(
          "shared_objects/id_to_config_map"
      )
      if id_to_config_map is None:
          return  # Not in a sharing scope
      obj_id = int(id(obj))
      if obj_id not in id_to_config_map:
          id_to_config_map[obj_id] = config
      else:
          config["shared_object_id"] = obj_id
          prev_config = id_to_config_map[obj_id]
          prev_config["shared_object_id"] = obj_id
  
imports: import importlib
  import inspect
  import types
  import warnings
  import numpy
  from keras import api_export
  from keras import backend
  from keras.api_export import keras_export
  from keras.backend.common import global_state
  from keras.saving import object_registration
  from keras.utils import python_utils
  from keras.utils.module_utils import tensorflow
label_desc: Use image node_id 4 for calling a global function with example usage: record_object_after_serialization(obj, config) without return types