code: def testNoneDataset(self):
      # Some datasets, e.g. datasets with None tensors, have components without
      # output shapes. Test that this doesn't break rebatching shape inference
      # logic.
      dataset = dataset_ops.Dataset.range(4)
      dataset = dataset.map(lambda x: (x, None))
      dataset = dataset.batch(4, drop_remainder=True)
      _ = dataset.rebatch(batch_size=[2, 2])
  
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 19 for calling the RebatchTest obj's underlying member method code with example usage: obj.testNoneDataset() without return types