code: def testMapDefunWithUnspecifiedOutputShape(self):
      @def_function.function(
          input_signature=[tensor_spec.TensorSpec([2], dtypes.int32)]
      )
      def simple_fn(x):
          res = x * 2 + 3
          return (res, res + 1, res + 2)
  
      nums = [[1, 2], [3, 4], [5, 6]]
      elems = constant_op.constant(
          nums, dtype=dtypes.int32, name="data"
      )
      r = map_defun.map_defun(
          simple_fn,
          [elems],
          [dtypes.int32, dtypes.int32, dtypes.int32],
          [None, (None,), (2,)],
      )
      expected = elems * 2 + 3
      self.assertAllEqual(self.evaluate(r[0]), self.evaluate(expected))
      self.assertAllEqual(
          self.evaluate(r[1]), self.evaluate(expected + 1)
      )
      self.assertAllEqual(
          self.evaluate(r[2]), self.evaluate(expected + 2)
      )
  
imports: import time
  from absl.testing import parameterized
  from tensorflow.python.client import session
  from tensorflow.python.data.experimental.ops import map_defun
  from tensorflow.python.data.kernel_tests import test_base
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import tensor_spec
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import array_ops_stack
  from tensorflow.python.ops import check_ops
  from tensorflow.python.ops import data_flow_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import sparse_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 11 for calling the MapDefunTest obj's underlying member method code with example usage: obj.testMapDefunWithUnspecifiedOutputShape() and returns: res,  unknown,  unknown