code: def serialize_object_graph_with_registered_savers(
      graph_view, saveables_cache
  ):
      """Determine checkpoint keys for variables and build a serialized graph."""
      return serialize_gathered_objects(
          graph_view, saveables_cache=saveables_cache
      )
  
imports: import collections
  from tensorflow.core.protobuf import trackable_object_graph_pb2
  from tensorflow.python.checkpoint import saveable_compat
  from tensorflow.python.checkpoint import util
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.saved_model import registration
  from tensorflow.python.trackable import base
  from tensorflow.python.trackable import python_state
  from tensorflow.python.trackable import trackable_utils
  from tensorflow.python.training.saving import saveable_object
  from tensorflow.python.training.saving import saveable_object_util
  from tensorflow.python.util import object_identity
label_desc: Use image node_id 7 for calling a global function with example usage: serialize_object_graph_with_registered_savers(graph_view, saveables_cache) and returns: serialize_gathered_objects