update all listen_on references

hivemind/moe/server/connection_handler.py

@@ -23,8 +23,8 @@ class ConnectionHandler(mp.context.ForkProcess, ServicerBase):
     """
     A process that accepts incoming requests to experts and submits them into the corresponding TaskPool.
 
-    :note: ConnectionHandler is designed so as to allow using multiple handler processes for the same port.
-    :param listen_on: network interface, e.g. "0.0.0.0:1337" or "localhost:*" (* means pick any port) or "[::]:7654"
+    :note: ConnectionHandler is designed so as to allow using multiple handler processes for the same port
+    :param dht: a running hivemind.dht.DHT, used to let other peers connect to this one
     :param experts: a dict [UID -> ExpertBackend] with all active experts
     """
 

hivemind/moe/server/server.py

@@ -41,9 +41,8 @@ class Server(threading.Thread):
      - processes incoming forward/backward requests via Runtime (created by the server)
      - publishes updates to expert status every :update_period: seconds
 
-    :type dht: an instance of hivemind.DHT.
+    :type dht: an instance of hivemind.DHT. Server will use DHT for all network interactions.
     :param expert_backends: dict{expert uid (str) : ExpertBackend} for all expert hosted by this server.
-    :param listen_on: server's dht address that determines how it can be accessed. Address and (optional) port
     :param num_connection_handlers: maximum number of simultaneous requests. Please note that the default value of 1
         if too small for normal functioning, we recommend 4 handlers per expert backend.
     :param update_period: how often will server attempt to publish its state (i.e. experts) to the DHT;
@@ -112,7 +111,7 @@ class Server(threading.Thread):
     ) -> Server:
         """
         Instantiate a server with several identical experts. See argparse comments below for details
-        :param listen_on: network interface with address and (optional) port, e.g. "127.0.0.1:1337" or "[::]:80"
+
         :param num_experts: run this many identical experts
         :param expert_pattern: a string pattern or a list of expert uids,  example: myprefix.[0:32].[0:256]\
            means "sample random experts between myprefix.0.0 and myprefix.255.255;