class_docstr: Tests for sharing datasets across jobs using a cross-trainer cache.
code: def testRequiresJobName(self):
      cluster = self._create_cluster(num_workers=1)
      dataset = dataset_ops.Dataset.range(10000000).repeat()
      with self.assertRaisesRegex(
          errors.InvalidArgumentError,
          "Cross-trainer caching requires named jobs. Got empty `job_name`.",
      ):
          dataset = self.make_distributed_dataset(
              dataset,
              cluster,
              job_name=None,
              cross_trainer_cache=data_service_ops.CrossTrainerCache(
                  trainer_id="Trainer 1"
              ),
          )
          self.getDatasetOutput(dataset)
  
imports: import multiprocessing
  from absl.testing import parameterized
  from tensorflow.python.data.experimental.kernel_tests.service import test_base
  from tensorflow.python.data.experimental.ops import data_service_ops
  from tensorflow.python.data.kernel_tests import test_base
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import errors
  from tensorflow.python.platform import test
label_desc: Use image node_id 13 for calling the CrossTrainerCacheTest obj's underlying member method code with example usage: obj.testRequiresJobName() without return types