code: def _new_mark_used(self, *args, **kwargs):
      object.__getattribute__(self, "_tf_should_use_helper").sate()
      try:
          mu = object.__getattribute__(
              object.__getattribute__(
                  self, "_tf_should_use_wrapped_value"
              ),
              "mark_used",
          )
          return mu(*args, **kwargs)
      except AttributeError:
          pass
  
imports: import copy
  import sys
  import textwrap
  import traceback
  import types
  from tensorflow.python.eager import context
  from tensorflow.python.framework import ops
  from tensorflow.python.platform import tf_logging
  from tensorflow.python.util import tf_decorator
label_desc: Use image node_id 4 for calling a global function with example usage: _new_mark_used() and returns: mu