Start moving ray internal files to _private module (#10994)

python/ray/util/sgd/tf/tf_runner.py

@@ -3,7 +3,7 @@ import json
 import os
 
 import ray
-import ray.services
+import ray._private.services
 from ray.util.sgd import utils
 
 logger = logging.getLogger(__name__)
@@ -148,7 +148,7 @@ class TFRunner:
 
     def get_node_ip(self):
         """Returns the IP address of the current node."""
-        return ray.services.get_node_ip_address()
+        return ray._private.services.get_node_ip_address()
 
     def find_free_port(self):
         """Finds a free port on the current node."""

python/ray/util/sgd/torch/distributed_torch_runner.py

@@ -184,7 +184,7 @@ def clear_dummy_actor():
 
 
 def reserve_resources(num_cpus, num_gpus, retries=20):
-    ip = ray.services.get_node_ip_address()
+    ip = ray._private.services.get_node_ip_address()
 
     reserved_cuda_device = None
 

python/ray/util/sgd/torch/utils.py

@@ -9,7 +9,7 @@ logger = logging.getLogger(__name__)
 
 
 def setup_address():
-    ip = ray.services.get_node_ip_address()
+    ip = ray._private.services.get_node_ip_address()
     port = find_free_port()
     return f"tcp://{ip}:{port}"