code: def testParallelMapWithAutotune(self):
      dataset = dataset_ops.Dataset.range(1000)
      dataset = map_op._ParallelMapDataset(  # pylint: disable=protected-access
          dataset,
          lambda x: x + 1,
          num_parallel_calls=1,
          deterministic=True,
          use_inter_op_parallelism=False,
      )
      dataset = dataset.map(
          lambda x: x + 1, num_parallel_calls=dataset_ops.AUTOTUNE
      )
      next_element = self.getNext(dataset)
      self.evaluate(next_element())
  
file_path: tensorflow/tensorflow/python/data/experimental/kernel_tests/model_dataset_test.py
imports: from absl.testing import parameterized
  from tensorflow.python.data.experimental.ops import testing
  from tensorflow.python.data.kernel_tests import test_base
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.data.ops import map_op
  from tensorflow.python.data.ops import options
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import errors
  from tensorflow.python.platform import test
label_desc: Use image node_id 2 for calling the ModelDatasetTest obj's underlying member method code with example usage: obj.testParallelMapWithAutotune() without return types