code: def testMixedLayoutsFails(self):
      dataset = dataset_ops.DatasetV2.from_tensors(
          (self.images, self.labels)
      ).repeat()
  
      images_layout = Layout(
          [UNSHARDED, MESH_DIM_HEIGHT, MESH_DIM_WIDTH, UNSHARDED],
          self.mesh,
      )
      labels_layout = Layout([MESH_DIM_BATCH, UNSHARDED], self.mesh)
      layouts = (images_layout, labels_layout)
  
      with self.assertRaisesRegex(
          ValueError,
          (
              f"batch_dim {MESH_DIM_BATCH} was specified but at least one layout did "
              "not contain it"
          ),
      ):
          input_util.DTensorDataset(
              dataset=dataset,
              global_batch_size=32,
              mesh=self.mesh,
              layouts=layouts,
              batch_dim=MESH_DIM_BATCH,
          )
  
imports: import contextlib
  import threading
  from absl.testing import parameterized
  import numpy
  from tensorflow.dtensor.python import api
  from tensorflow.dtensor.python import input_util
  from tensorflow.dtensor.python import layout
  from tensorflow.dtensor.python import mesh_util
  from tensorflow.dtensor.python.tests import test_util
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.eager.polymorphic_function import polymorphic_function
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors_impl
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import tensor_spec
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import stateless_random_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
label_desc: Use image node_id 16 for calling the DTensorDatasetTest obj's underlying member method code with example usage: obj.testMixedLayoutsFails() without return types