[api] Initial API deprecations for Ray 1.0 (#10325)

python/ray/util/__init__.py

@@ -2,13 +2,11 @@ from ray.util import iter
 from ray.util.actor_pool import ActorPool
 from ray.util.debug import log_once, disable_log_once_globally, \
     enable_periodic_logging
-from ray.util.named_actors import get_actor
 
 __all__ = [
     "ActorPool",
     "disable_log_once_globally",
     "enable_periodic_logging",
-    "get_actor",
     "iter",
     "log_once",
 ]

python/ray/util/named_actors.py

@@ -1,27 +0,0 @@
-import logging
-
-import ray
-
-logger = logging.getLogger(__name__)
-
-
-def _get_actor(name):
-    worker = ray.worker.global_worker
-    handle = worker.core_worker.get_named_actor_handle(name)
-    return handle
-
-
-def get_actor(name: str) -> ray.actor.ActorHandle:
-    """Get a named actor which was previously created.
-
-    If the actor doesn't exist, an exception will be raised.
-
-    Args:
-        name: The name of the named actor.
-
-    Returns:
-        The ActorHandle object corresponding to the name.
-    """
-    logger.warning("ray.util.get_actor has been moved to ray.get_actor and "
-                   "will be removed in the future.")
-    return _get_actor(name)

python/ray/util/sgd/torch/examples/cifar_pytorch_example.py

@@ -102,7 +102,7 @@ if __name__ == "__main__":
 
     args, _ = parser.parse_known_args()
     num_cpus = 4 if args.smoke_test else None
-    ray.init(address=args.address, num_cpus=num_cpus, log_to_driver=True)
+    ray.init(address=args.address, num_cpus=num_cpus, _log_to_driver=True)
 
     trainer1 = TorchTrainer(
         model_creator=ResNet18,

python/ray/util/sgd/torch/examples/cifar_pytorch_pbt.py

@@ -98,7 +98,7 @@ if __name__ == "__main__":
         "--tune", action="store_true", default=False, help="Tune training")
 
     args, _ = parser.parse_known_args()
-    ray.init(address=args.address, log_to_driver=True)
+    ray.init(address=args.address, _log_to_driver=True)
 
     TorchTrainable = TorchTrainer.as_trainable(
         model_creator=ResNet18,