class_docstr: Implements Layer SavedModel serialization.
docstr: Returns dictionary of serialized attributes.
docstr_tok: ["Returns","dictionary","of","serialized","attributes","."]
code: def _get_serialized_attributes_internal(self, serialization_cache):
      """Returns dictionary of serialized attributes."""
      objects = save_impl.wrap_layer_objects(
          self.obj, serialization_cache
      )
      functions = save_impl.wrap_layer_functions(
          self.obj, serialization_cache
      )
      # Attribute validator requires that the default save signature is added to
      # function dict, even if the value is None.
      functions["_default_save_signature"] = None
      return objects, functions
  
imports: from tensorflow.python.keras.mixed_precision import policy
  from tensorflow.python.keras.saving.saved_model import base_serialization
  from tensorflow.python.keras.saving.saved_model import constants
  from tensorflow.python.keras.saving.saved_model import save_impl
  from tensorflow.python.keras.saving.saved_model import serialized_attributes
  from tensorflow.python.keras.utils import generic_utils
  from tensorflow.python.trackable import data_structures
  from tensorflow.python.util import nest
label_desc: Use image node_id 7 for calling the LayerSavedModelSaver obj's underlying member method code with example usage: obj._get_serialized_attributes_internal(serialization_cache) and returns: objects,  functions