code: def test_function_from_graph_def(self):
      @def_function.function
      def make_graph_def(x):
          return x + 1.0
  
      original_func_graph = make_graph_def.get_concrete_function(
          tensor_spec.TensorSpec([None, 2], dtypes.float32)
      ).graph
      graph_def = original_func_graph.as_graph_def()
      revived_function = wrap_function.function_from_graph_def(
          graph_def,
          inputs=original_func_graph.inputs[0].name,
          outputs=original_func_graph.outputs[0].name,
      )
      self.assertEqual(
          2.0, revived_function(constant_op.constant(1.0)).numpy()
      )
  
imports: import os
  from tensorflow.core.protobuf import meta_graph_pb2
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.eager import backprop
  from tensorflow.python.eager import def_function
  from tensorflow.python.eager import wrap_function
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import importer
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_spec
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import init_ops
  from tensorflow.python.ops import state_ops
  from tensorflow.python.ops import variable_scope
  from tensorflow.python.ops import variable_v1
  from tensorflow.python.ops import variables
  from tensorflow.python.ops.ragged import ragged_factory_ops
  from tensorflow.python.ops.ragged import ragged_tensor
  from tensorflow.python.platform import test
  from tensorflow.python.training import saver
label_desc: Use image node_id 13 for calling the WrapFunctionTest obj's underlying member method code with example usage: obj.test_function_from_graph_def() and returns: unknown