type: string
                type: array
              host:
                description: The name of a service from the service registry.
                type: string
              subsets:
                description: One or more named sets that represent individual versions
                  of a service.
                items:
                  properties:
                    labels:

    *   Added support for cross-trainer data caching in tf.data service. This
        saves computation resources when concurrent training jobs train from the
        same dataset. See
        (https://www.tensorflow.org/api_docs/python/tf/data/experimental/service#sharing_tfdata_service_with_concurrent_trainers)
        for more details.
    *   Added `dataset_id` to `tf.data.experimental.service.register_dataset`.