code: def graph_wrapped_for_higher_order_tape_gradients(graph):
      """Check if `graph` is wrapped by `run_as_function_for_tape_gradients`."""
      while graph is not None:
          if "cflow_gradient_wrapper" in getattr(graph, "name", ""):
              return True
          graph = getattr(graph, "outer_graph", None)
      return False
  
imports: from tensorflow.core.framework import attr_value_pb2
  from tensorflow.python.eager import context
  from tensorflow.python.eager.polymorphic_function import atomic_function
  from tensorflow.python.eager.polymorphic_function import concrete_function
  from tensorflow.python.eager.polymorphic_function import tracing_compilation
  from tensorflow.python.eager.polymorphic_function import transform
  from tensorflow.python.framework import function_def_to_graph
  from tensorflow.python.framework import ops
  from tensorflow.python.framework.func_graph import FuncGraph
  from tensorflow.python.ops import control_flow_util
  from tensorflow.python.ops import control_flow_v2_func_graphs
  from tensorflow.python.ops import gradients_util
  from tensorflow.python.util import keras_deps
  from tensorflow.python.util import tf_contextlib
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 15 for calling a global function with example usage: graph_wrapped_for_higher_order_tape_gradients(graph) and returns: False, True