code: def f(self, x, y, add_2):
      r = math_ops.add(x, y, name="x_plus_y")
      if add_2:
          return r + 2
      else:
          return r
  
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 1 for calling the Model obj's underlying member method code with example usage: obj.f(x, y, add_2) and returns: unknown, r