code: def test_function_spec(self):
      @def_function.function
      def f(x, y):
          return math_ops.add(x, y, name="x_plus_y")
  
      args = [1, 1]
      self.assertEqual(f(*args), 2)
  
      updated_f = transform.transform_function(
          f, inputs=args, transform_fn=add_to_multiply
      )
      self.assertEqual(updated_f(*args), 1)
  
      self.assertSequenceAlmostEqual(
          f.get_concrete_function(*args)
          .pretty_printed_signature()
          .split("\n")[1:],
          updated_f.pretty_printed_signature().split("\n")[1:],
      )
  
imports: import collections
  from absl.testing import parameterized
  from tensorflow.core.function.testing import test_pass
  from tensorflow.core.function.transform import transform
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import tensor_spec
  from tensorflow.python.framework import test_util
  from tensorflow.python.module import module
  from tensorflow.python.ops import custom_gradient
  from tensorflow.python.ops import gradients_impl
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import while_loop
  from tensorflow.python.platform import test
  from tensorflow.python.saved_model import load
  from tensorflow.python.saved_model import save
label_desc: Use image node_id 4 for calling the TransformTest obj's underlying member method code with example usage: obj.test_function_spec() and returns: math_ops