code: def test_transform_with_keywords(self):
      @def_function.function
      def f(x, y):
          return math_ops.add(x, y, name="x_plus_y")
  
      one = constant_op.constant(1.0)
  
      # transfrom f(x, y): x + y -> f(x, y): x * y
      g = transform.transform_function(
          f,
          inputs=[one],
          kw_inputs={"y": one},
          transform_fn=add_to_multiply,
          mlir_pipeline="test-pass",
      )
  
      self.assertEqual(g(one, one), 1.0)
      self.assertEqual(g(one, y=one), 1.0)
      self.assertEqual(g(x=one, y=one), 1.0)
  
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 2 for calling the TransformTest obj's underlying member method code with example usage: obj.test_transform_with_keywords() and returns: math_ops