code: def _check_not_tensor(values):
      _ = [
          _check_failed(v)
          for v in nest.flatten(values)
          if isinstance(v, core.Symbol)
      ]
  
imports: import typing
  from typing import Protocol
  import numpy
  from tensorflow.core.framework import tensor_pb2
  from tensorflow.core.framework import tensor_shape_pb2
  from tensorflow.python.client import pywrap_tf_session
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors_impl
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.types import core
  from tensorflow.python.types import internal
  from tensorflow.python.util import compat
  from tensorflow.python.util import nest
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 21 for calling a global function with example usage: _check_not_tensor(values) without return types