code: def testRaggedWithDistributedDatasetIter(
      self, ragged_factory, drop_remainder
  ):
      @def_function.function
      def distributed_dataset_producer(t):
          strategy = mirrored_strategy.MirroredStrategy(
              ["GPU:0", "GPU:1"]
          )
          ragged_ds = dataset_ops.Dataset.from_tensor_slices(t).batch(2)
          dist_dataset = strategy.experimental_distribute_dataset(
              ragged_ds
          )
          ds = iter(dist_dataset)
          result0 = strategy.experimental_local_results(next(ds))
          result1 = strategy.experimental_local_results(next(ds))
          result2 = strategy.experimental_local_results(next(ds))
          result3 = strategy.experimental_local_results(next(ds))
          # Reach the end of the iterator
          for ignore in ds:  # pylint: disable=unused-variable
              pass
          return result0, result1, result2, result3
  
      t = ragged_factory()
  
      result0, result1, result2, result3 = distributed_dataset_producer(
          t
      )
      self.assertAllEqual(
          self.evaluate(t[0]), self.evaluate(result0[0][0])
      )
      self.assertAllEqual(
          self.evaluate(t[1]), self.evaluate(result0[1][0])
      )
      self.assertAllEqual(
          self.evaluate(t[2]), self.evaluate(result1[0][0])
      )
      self.assertAllEqual(
          self.evaluate(t[3]), self.evaluate(result1[1][0])
      )
      self.assertAllEqual(
          self.evaluate(t[4]), self.evaluate(result2[0][0])
      )
      self.assertAllEqual(
          self.evaluate(t[5]), self.evaluate(result2[1][0])
      )
      self.assertAllEqual(
          self.evaluate(t[6]), self.evaluate(result3[0][0])
      )
      self.assertAllEqual(
          self.evaluate(t[7]), self.evaluate(result3[1][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 3 for calling the RaggedFactoryOpsTest obj's underlying member method code with example usage: obj.testRaggedWithDistributedDatasetIter(ragged_factory, drop_remainder) and returns: result0,  result1,  result2,  result3