diff --git a/python/paddle/fluid/incubate/fleet/parameter_server/__init__.py b/python/paddle/fluid/incubate/fleet/parameter_server/__init__.py
index b0cb6a004174494c09329f19c269f62ab7bee5f1..9084b0caad88450c99d5e6550ffa6bea86e06d65 100644
--- a/python/paddle/fluid/incubate/fleet/parameter_server/__init__.py
+++ b/python/paddle/fluid/incubate/fleet/parameter_server/__init__.py
@@ -122,12 +122,14 @@ class Fleet(object):
             print("You should run DistributedOptimizer.minimize() first")
             sys.exit(-1)
 
-    def init_worker(self, program):
+    def init_worker(self, programs):
         """
         init_worker(): will be called by user. When a user knows current process is_server(), he/she
                     should call init_worker() to initialize global information about worker and connect
                     worker with pserver.
         """
+        if not isinstance(programs, list):
+            programs = [programs]
         if self._opt_info:
             if "fleet_desc" in self._opt_info:
                 self._dist_desc_str = text_format.MessageToString(
@@ -145,14 +147,25 @@ class Fleet(object):
             self.role_maker_.barrier_worker()
             if self.role_maker_.is_first_worker():
                 tables = self._dist_desc.trainer_param.dense_table._values
-                for i in range(0, len(tables)):
-                    table = tables[i];
-                    var_name_list = []
-                    for i in range(0, len(table.dense_variable_name)):
-                        var_name_list.append(table.dense_variable_name[i])
-                #print "table id ", table.table_id
-                #print "var_name_list ", var_name_list
-                self._fleet_ptr.init_model(program.desc,
+                for prog in programs:
+                    prog_id = str(id(prog))
+                    prog_conf = self._opt_info['program_configs'][prog_id]
+                    prog_tables = {}
+                    for key in prog_conf:
+                        if "dense" not in key:
+                            continue
+                        for table_id in prog_conf[key]:
+                            prog_tables[int(table_id)] = 0
+                    for i in range(0, len(tables)):
+                        table = tables[i]
+                        if int(table.table_id) not in prog_tables:
+                            continue
+                        var_name_list = []
+                        for i in range(0, len(table.dense_variable_name)):
+                            var_name_list.append(table.dense_variable_name[i])
+                    #print "table id ", table.table_id
+                    #print "var_name_list ", var_name_list
+                    self._fleet_ptr.init_model(prog.desc,
                                            int(table.table_id),
                                            var_name_list)
             self.role_maker_.barrier_worker()