feat(server): modify nccl init_method

launcher/src/main.rs

@@ -38,9 +38,9 @@ struct Args {
     port: u16,
     #[clap(default_value = "/tmp/text-generation-server", long, env)]
     shard_uds_path: String,
-    #[clap(default_value = "localhost", long, env)]
+    #[clap(default_value = "0.0.0.0", long, env)]
     master_addr: String,
-    #[clap(default_value = "29500", long, env)]
+    #[clap(default_value = "6000", long, env)]
     master_port: usize,
     #[clap(long, env)]
     json_output: bool,

server/text_generation/server.py

@@ -89,7 +89,11 @@ def serve(
             local_url = unix_socket_template.format(uds_path, 0)
             server_urls = [local_url]
 
+        try:
             model = get_model(model_id, revision, sharded, quantize)
+        except Exception:
+            logger.exception("Error when initializing model")
+            raise
 
         server = aio.server(interceptors=[ExceptionInterceptor()])
         generate_pb2_grpc.add_TextGenerationServiceServicer_to_server(
@@ -101,8 +105,11 @@ def serve(
         )
         reflection.enable_server_reflection(SERVICE_NAMES, server)
         server.add_insecure_port(local_url)
+
         await server.start()
+
         logger.info("Server started at {}".format(local_url))
+
         try:
             await server.wait_for_termination()
         except KeyboardInterrupt:

server/text_generation/utils.py

@@ -171,9 +171,14 @@ def initialize_torch_distributed():
     else:
         backend = "gloo"
 
+    master_ip = os.getenv("MASTER_ADDR", "0.0.0.0")
+    master_port = os.getenv("MASTER_PORT", "6000")
+    init_method = f"tcp://{master_ip}:{master_port}"
+
     # Call the init process.
     torch.distributed.init_process_group(
         backend=backend,
+        init_method=init_method,
         world_size=world_size,
         rank=rank,
         timeout=timedelta(seconds=60),