code: def testMultipleBatches(self):
      dataset = (
          dataset_ops.Dataset.range(16)
          .batch(2, drop_remainder=True)
          .batch(4, drop_remainder=True)
      )
      self.assertEqual([[4, 2]], _flat_shapes(dataset))
  
      rebatched_dataset = dataset.rebatch([2, 2])
      self.assertEqual([[2, 2]], _flat_shapes(rebatched_dataset))
      # Each element is a list of 2 elements where each element is a list of 2.
      expected_output = [
          [[0, 1], [2, 3]],
          [[4, 5], [6, 7]],
          [[8, 9], [10, 11]],
          [[12, 13], [14, 15]],
      ]
      self.assertDatasetProduces(rebatched_dataset, expected_output)
  
imports: from absl.testing import parameterized
  from tensorflow.python.data.kernel_tests import checkpoint_test_base
  from tensorflow.python.data.kernel_tests import test_base
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.data.util import nest
  from tensorflow.python.framework import combinations
  from tensorflow.python.ops.ragged import ragged_tensor
  from tensorflow.python.platform import test
label_desc: Use image node_id 15 for calling the RebatchTest obj's underlying member method code with example usage: obj.testMultipleBatches() without return types