diff --git a/python/paddle/fluid/dataset.py b/python/paddle/fluid/dataset.py
index cf487fdfe201f61c6c6abb80355d838b71cd71a6..fae4d5c73f2d330109d03265fe5d4287c0abfbb8 100644
--- a/python/paddle/fluid/dataset.py
+++ b/python/paddle/fluid/dataset.py
@@ -235,15 +235,15 @@ class InMemoryDataset(DatasetBase):
         """
         trainer_num = 1
         if fleet is not None:
-            fleet.fleet_instance.role_maker_.barrier_worker()
+            fleet.fleet_instance.role_maker_._barrier_worker()
             trainer_num = fleet.worker_num()
         self.dataset.register_client2client_msg_handler()
         self.dataset.set_trainer_num(trainer_num)
         if fleet is not None:
-            fleet.fleet_instance.role_maker_.barrier_worker()
+            fleet.fleet_instance.role_maker_._barrier_worker()
         self.dataset.global_shuffle()
         if fleet is not None:
-            fleet.fleet_instance.role_maker_.barrier_worker()
+            fleet.fleet_instance.role_maker_._barrier_worker()
 
 
 class QueueDataset(DatasetBase):
diff --git a/python/paddle/fluid/incubate/fleet/base/role_maker.py b/python/paddle/fluid/incubate/fleet/base/role_maker.py
index 3cf4415aa9f388a2c0b308d811518f160db88430..708efed5e44e35b3fdccb8a3eefa3f0af4a6daa3 100644
--- a/python/paddle/fluid/incubate/fleet/base/role_maker.py
+++ b/python/paddle/fluid/incubate/fleet/base/role_maker.py
@@ -98,7 +98,7 @@ class MPIRoleMaker(RoleMakerBase):
         """
         all_gather(obj) will call MPI's allgather function
         """
-        self.barrier_all()
+        self._barrier_all()
         return self.comm_.allgather(obj)
 
     def _barrier_all(self):
@@ -112,7 +112,7 @@ class MPIRoleMaker(RoleMakerBase):
         collect current distributed job's ip list
         """
         if self.ips_ == None:
-            self.ips_ = self.comm_.allgather(self.get_local_ip())
+            self.ips_ = self.comm_.allgather(self._get_local_ip())
         return self.ips_
 
     def _finalize(self):
@@ -146,7 +146,7 @@ class MPISymetricRoleMaker(MPIRoleMaker):
         return whether current process is the first worker assigned by role maker
         """
         if self._check_role_generation():
-            return self.is_worker() and 0 == self.worker_index()
+            return self._is_worker() and 0 == self._worker_index()
         return False
 
     def _is_worker(self):
@@ -170,8 +170,8 @@ class MPISymetricRoleMaker(MPIRoleMaker):
         return the current number of worker
         """
         if self._check_role_generation():
-            if self.is_worker():
-                return self.get_size() / 2
+            if self._is_worker():
+                return self._get_size() / 2
         return 0
 
     def _server_num(self):
@@ -179,8 +179,8 @@ class MPISymetricRoleMaker(MPIRoleMaker):
         return the current number of server
         """
         if self._check_role_generation():
-            if self.is_server():
-                return self.get_size() / 2
+            if self._is_server():
+                return self._get_size() / 2
         return 0
 
     def _worker_index(self):
@@ -204,7 +204,7 @@ class MPISymetricRoleMaker(MPIRoleMaker):
         barrier all workers in current distributed job
         """
         if self._check_role_generation():
-            if self.is_worker():
+            if self._is_worker():
                 self.node_type_comm_.barrier()
 
     def _barrier_server(self):
@@ -212,7 +212,7 @@ class MPISymetricRoleMaker(MPIRoleMaker):
         barrier all servers in current distributed job
         """
         if self._check_role_generation():
-            if self.is_server():
+            if self._is_server():
                 self.node_type_comm_.barrier()
 
     def _generate_role(self):
@@ -221,10 +221,10 @@ class MPISymetricRoleMaker(MPIRoleMaker):
         """
         if not self.role_is_generated_:
             # TODO(guru4elephant): only allow to be called once
-            self.trainer_endpoints_ = self.get_ips()
-            self.pserver_endpoints_ = self.get_ips()
+            self.trainer_endpoints_ = self._get_ips()
+            self.pserver_endpoints_ = self._get_ips()
 
-            if 0 == self.get_rank() % self.proc_per_node_ % 2:
+            if 0 == self._get_rank() % self.proc_per_node_ % 2:
                 self.node_type_ = 0
             else:
                 self.node_type_ = 1
diff --git a/python/paddle/fluid/incubate/fleet/parameter_server/__init__.py b/python/paddle/fluid/incubate/fleet/parameter_server/__init__.py
index 8f241792741ba5fd767ebf1521e5e7edda6dac24..2a5456ddb3cb3133dbf28ad138c8a16a8c6e9142 100644
--- a/python/paddle/fluid/incubate/fleet/parameter_server/__init__.py
+++ b/python/paddle/fluid/incubate/fleet/parameter_server/__init__.py
@@ -88,7 +88,7 @@ class Fleet(object):
         stop(): will be called after a user finishes his/her training task. Fleet instance will be
             destroyed when stop() is called.
         """
-        self.role_maker_.barrier_worker()
+        self.role_maker_._barrier_worker()
         if self.role_maker_._is_first_worker():
             self._fleet_ptr.stop_server()
         self.role_maker_._barrier_worker()
diff --git a/python/paddle/fluid/tests/unittests/test_dataset.py b/python/paddle/fluid/tests/unittests/test_dataset.py
index 9fd1c5e5f4bc798984e62fa70a8ccbbe6f5e539b..cdbbf23c1115c552725e449f6c62baccbc7ee76f 100644
--- a/python/paddle/fluid/tests/unittests/test_dataset.py
+++ b/python/paddle/fluid/tests/unittests/test_dataset.py
@@ -1,3 +1,7 @@
+"""
+dataset testcases
+
+"""
 #   Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -21,13 +25,9 @@ import unittest
 
 
 class TestDataset(unittest.TestCase):
-    """
-    TestCases for Dataset.
-    """
+    """  TestCases for Dataset. """
     def test_dataset_create(self):
-        """
-        Testcase for dataset create
-        """
+        """ Testcase for dataset create """
         try:
             dataset = fluid.DatasetFactory().create_dataset("InMemoryDataset")
         except:
@@ -45,9 +45,7 @@ class TestDataset(unittest.TestCase):
             self.assertTrue(True)
 
     def test_dataset_config(self):
-        """
-        Testcase for dataset configuration
-        """
+        """ Testcase for dataset configuration """
         dataset = fluid.core.Dataset("MultiSlotDataset")
         dataset.set_thread_num(12)
         dataset.set_filelist(["a.txt", "b.txt", "c.txt"])