code: def checkpoint_key(object_path, local_name):
      """Returns the checkpoint key for a local attribute of an object."""
      key_suffix = escape_local_name(local_name)
      if local_name == SERIALIZE_TO_TENSORS_NAME:
          # In the case that Trackable uses the _serialize_to_tensor API for defining
          # tensors to save to the checkpoint, the suffix should be the key(s)
          # returned by `_serialize_to_tensor`. The suffix used here is empty.
          key_suffix = ""
  
      return f"{object_path}/{OBJECT_ATTRIBUTES_NAME}/{key_suffix}"
  
file_path: tensorflow-upstream/tensorflow/python/trackable/trackable_utils.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import collections
label_desc: Use image node_id 5 for calling a global function with example usage: checkpoint_key(object_path, local_name) and returns: object_path, str, OBJECT_ATTRIBUTES_NAME, str, key_suffix