class_docstr: Tests for sharing datasets across jobs using a cross-trainer cache.
docstr: Tests cross-trainer cache with `distribute`.
docstr_tok: ["Tests","cross-trainer","cache","with","`","distribute","`","."]
code: def testEnableCrossTrainerCache(self):
      """Tests cross-trainer cache with `distribute`."""
      cluster = self._create_cluster(num_workers=1)
      dataset = dataset_ops.Dataset.range(10000000).repeat()
      dataset1 = self.make_distributed_dataset(
          dataset,
          cluster,
          job_name="job",
          cross_trainer_cache=data_service_ops.CrossTrainerCache(
              trainer_id="Trainer 1"
          ),
      )
      self.assertDatasetProduces(dataset1.take(10), list(range(10)))
  
      # The second client reads the same data from the cross-trainer cache.
      dataset2 = self.make_distributed_dataset(
          dataset,
          cluster,
          job_name="job",
          cross_trainer_cache=data_service_ops.CrossTrainerCache(
              trainer_id="Trainer 2"
          ),
      )
      self.assertDatasetProduces(dataset2.take(10), list(range(10)))
  
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 1 for calling the CrossTrainerCacheTest obj's underlying member method code with example usage: obj.testEnableCrossTrainerCache() without return types