fix startup

fleet_rec/core/engine/local_cluster_engine.py

@@ -20,13 +20,13 @@ import os
 import copy
 
 from fleetrec.core.engine.engine import Engine
-
+from fleetrec.core.utils import envs
 
 class LocalClusterEngine(Engine):
     def start_procs(self):
         worker_num = self.envs["worker_num"]
         server_num = self.envs["server_num"]
-        start_port = self.envs["start_port"]
+        ports = [self.envs["start_port"]]
         logs_dir = self.envs["log_dir"]
 
         default_env = os.environ.copy()
@@ -36,7 +36,13 @@ class LocalClusterEngine(Engine):
         current_env.pop("https_proxy", None)
         procs = []
         log_fns = []
-        ports = range(start_port, start_port + server_num, 1)
+       
+        for i in range(server_num - 1):
+            while True:
+                new_port = envs.find_free_port()
+                if new_port not in ports:
+                    ports.append(new_port)
+                    break
         user_endpoints = ",".join(["127.0.0.1:" + str(x) for x in ports])
         user_endpoints_ips = [x.split(":")[0] for x in user_endpoints.split(",")]
         user_endpoints_port = [x.split(":")[1] for x in user_endpoints.split(",")]

fleet_rec/core/trainers/cluster_trainer.py

@@ -40,7 +40,7 @@ class ClusterTrainer(TranspileTrainer):
         else:
             self.regist_context_processor('uninit', self.instance)
             self.regist_context_processor('init_pass', self.init)
-
+            self.regist_context_processor('startup_pass', self.startup)
             if envs.get_platform() == "LINUX" and envs.get_global_env("dataset_class", None, "train.reader") != "DataLoader":
                 self.regist_context_processor('train_pass', self.dataset_train)
             else:

fleet_rec/core/trainers/single_trainer.py

@@ -33,7 +33,7 @@ class SingleTrainer(TranspileTrainer):
     def processor_register(self):
         self.regist_context_processor('uninit', self.instance)
         self.regist_context_processor('init_pass', self.init)
-
+        self.regist_context_processor('startup_pass', self.startup)
         if envs.get_platform() == "LINUX" and envs.get_global_env("dataset_class", None, "train.reader") != "DataLoader":
             self.regist_context_processor('train_pass', self.dataset_train)
         else:

fleet_rec/core/trainers/transpiler_trainer.py

@@ -23,7 +23,6 @@ from paddle.fluid.incubate.fleet.parameter_server.distribute_transpiler import f
 from fleetrec.core.trainer import Trainer
 from fleetrec.core.utils import envs
 from fleetrec.core.utils import dataloader_instance
-import fleetrec.core.din_reader as din_reader
 
 
 class TranspileTrainer(Trainer):

fleet_rec/core/utils/envs.py

@@ -15,7 +15,8 @@
 import os
 import copy
 import sys
-
+import socket
+from contextlib import closing
 global_envs = {}
 
 
@@ -170,3 +171,12 @@ def get_platform():
         return "DARWIN"
     if 'Windows' in plats:
         return "WINDOWS"
+
+def find_free_port():
+    def __free_port():
+        with closing(socket.socket(socket.AF_INET,
+                                   socket.SOCK_STREAM)) as s:
+            s.bind(('', 0))
+            return s.getsockname()[1]
+    new_port = __free_port()
+    return new_port

fleet_rec/run.py

@@ -139,7 +139,7 @@ def local_cluster_engine(args):
     cluster_envs = {}
     cluster_envs["server_num"] = 1
     cluster_envs["worker_num"] = 1
-    cluster_envs["start_port"] = 36001
+    cluster_envs["start_port"] = envs.find_free_port()
     cluster_envs["log_dir"] = "logs"
     cluster_envs["train.trainer.trainer"] = trainer
     cluster_envs["train.trainer.strategy"] = "async"