code: def testRaggedWithMultiDeviceIterator(
      self, ragged_factory, drop_remainder
  ):
      @def_function.function
      def dataset_producer(t):
          ragged_ds = dataset_ops.Dataset.from_tensor_slices(t).batch(
              2, drop_remainder
          )
          it = multi_device_iterator_ops.MultiDeviceIterator(
              ragged_ds, ["GPU:0"]
          )
          with ops.device_v2("GPU:0"):
              return it.get_next_as_optional()
  
      t = ragged_factory()
      if t.dtype == dtypes.string:
          self.skipTest("b/241136926: fix RaggedTensorFromVariant copy")
      result = dataset_producer(t)
      self.assertAllEqual(
          self.evaluate(t[0]), self.evaluate(result[0].get_value()[0])
      )
  
imports: from absl.testing import parameterized
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.data.ops import multi_device_iterator_ops
  from tensorflow.python.distribute import mirrored_strategy
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import map_fn
  from tensorflow.python.ops.math_ops import reduce_sum
  from tensorflow.python.ops.ragged import ragged_factory_ops
  from tensorflow.python.ops.string_ops import string_to_hash_bucket
  from tensorflow.python.platform import test
label_desc: Use image node_id 2 for calling the RaggedFactoryOpsTest obj's underlying member method code with example usage: obj.testRaggedWithMultiDeviceIterator(ragged_factory, drop_remainder) and returns: it