[core] Move log_to_driver back to public (#10422)

python/ray/serve/benchmarks/microbenchmark.py

@@ -77,7 +77,7 @@ async def trial(actors, session, data_size):
 
 
 async def main():
-    ray.init(_log_to_driver=False)
+    ray.init(log_to_driver=False)
     serve.init()
 
     serve.create_backend("backend", backend)

python/ray/tests/test_advanced_3.py

@@ -208,7 +208,7 @@ class CaptureOutputAndError:
 
 
 def test_logging_to_driver(shutdown_only):
-    ray.init(num_cpus=1, _log_to_driver=True)
+    ray.init(num_cpus=1, log_to_driver=True)
 
     @ray.remote
     def f():
@@ -233,7 +233,7 @@ def test_logging_to_driver(shutdown_only):
 
 
 def test_not_logging_to_driver(shutdown_only):
-    ray.init(num_cpus=1, _log_to_driver=False)
+    ray.init(num_cpus=1, log_to_driver=False)
 
     @ray.remote
     def f():

python/ray/tune/examples/pbt_transformers/pbt_transformers.py

@@ -106,7 +106,7 @@ def tune_transformer(num_samples=8,
                      gpus_per_trial=0,
                      smoke_test=False,
                      ray_address=None):
-    ray.init(ray_address, _log_to_driver=False)
+    ray.init(ray_address, log_to_driver=False)
     data_dir_name = "./data" if not smoke_test else "./test_data"
     data_dir = os.path.abspath(os.path.join(os.getcwd(), data_dir_name))
     if not os.path.exists(data_dir):

python/ray/tune/tests/test_commands.py

@@ -31,7 +31,7 @@ class Capturing:
 
 @pytest.fixture
 def start_ray():
-    ray.init(_log_to_driver=False, local_mode=True)
+    ray.init(log_to_driver=False, local_mode=True)
     _register_all()
     yield
     ray.shutdown()

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,

python/ray/worker.py

@@ -483,12 +483,12 @@ def init(
         configure_logging=True,
         logging_level=logging.INFO,
         logging_format=ray_constants.LOGGER_FORMAT,
+        log_to_driver=True,
         enable_object_reconstruction=False,
         # The following are unstable parameters and their use is discouraged.
         _redis_max_memory=None,
         _node_ip_address=ray_constants.NODE_DEFAULT_IP,
         _driver_object_store_memory=None,
-        _log_to_driver=True,
         _memory=None,
         _redis_password=ray_constants.REDIS_DEFAULT_PASSWORD,
         _include_java=False,
@@ -564,6 +564,8 @@ def init(
             timestamp, filename, line number, and message. See the source file
             ray_constants.py for details. Ignored unless "configure_logging"
             is true.
+        log_to_driver (bool): If true, the output from all of the worker
+            processes on all nodes will be directed to the driver.
         enable_object_reconstruction (bool): If True, when an object stored in
             the distributed plasma store is lost due to node failure, Ray will
             attempt to reconstruct the object by re-executing the task that
@@ -574,8 +576,6 @@ def init(
         _node_ip_address (str): The IP address of the node that we are on.
         _driver_object_store_memory (int): Limit the amount of memory the
             driver can use in the object store for creating objects.
-        _log_to_driver (bool): If true, the output from all of the worker
-            processes on all nodes will be directed to the driver.
         _memory: Amount of reservable memory resource to create.
         _redis_password (str): Prevents external clients without the password
             from connecting to Redis if provided.
@@ -739,7 +739,7 @@ def init(
     connect(
         _global_node,
         mode=driver_mode,
-        log_to_driver=_log_to_driver,
+        log_to_driver=log_to_driver,
         worker=global_worker,
         driver_object_store_memory=_driver_object_store_memory,
         job_id=None,