"@local_xla//xla/service:computation_placer",
        "//tensorflow/core",
        "//tensorflow/core/common_runtime/eager:context",
        "//tensorflow/core/common_runtime/eager:tensor_handle",
        "//tensorflow/core/config:flag_defs",
        "//tensorflow/core/config:flags",
        "//tensorflow/core/data/service:dispatcher_client",
        "//tensorflow/core/data/service:grpc_util",

 * if you are writing a application that needs to aggressively release unused resources you may do
 * so.
 *
 * Shutdown the dispatcher's executor service with [shutdown()][ExecutorService.shutdown]. This will
 * also cause future calls to the client to be rejected.
 *
 * ```java
 * client.dispatcher().executorService().shutdown();
 * ```
 *

  optional int64 deletionGracePeriodSeconds = 10;

  // Map of string keys and values that can be used to organize and categorize
  // (scope and select) objects. May match selectors of replication controllers
  // and services.
  // More info: https://kubernetes.io/docs/concepts/overview/working-with-objects/labels
  // +optional
  map<string, string> labels = 11;