diff --git a/python/paddle/trainer/PyDataProvider2.py b/python/paddle/trainer/PyDataProvider2.py
index f3e3fbf48362167e4f92f978885f74be38fe2a96..dfa7496cf5aa5410739c525ecb9258b2eb85cbab 100644
--- a/python/paddle/trainer/PyDataProvider2.py
+++ b/python/paddle/trainer/PyDataProvider2.py
@@ -106,9 +106,7 @@ def integer_value_sequence(dim):
 def integer_value_sub_sequence(dim):
     return integer_value(dim, seq_type=SequenceType.SUB_SEQUENCE)
 
-
-def integer_sequence(dim):
-    return index_slot(dim, seq_type=SequenceType.SEQUENCE)
+integer_sequence = integer_value_sequence
 
 
 class SingleSlotWrapper(object):
diff --git a/python/paddle/trainer_config_helpers/data_sources.py b/python/paddle/trainer_config_helpers/data_sources.py
index c62553f54cc304259015f1e8e6733eff99f476f2..fc72014c91eda6d399f717a7feda6334f83741e5 100644
--- a/python/paddle/trainer_config_helpers/data_sources.py
+++ b/python/paddle/trainer_config_helpers/data_sources.py
@@ -78,21 +78,6 @@ def define_py_data_source(file_list,
     if not isinstance(args, basestring) and args is not None:
         args = pickle.dumps(args, 0)
 
-    if data_cls is None:
-
-        def py_data2(files, load_data_module, load_data_object, load_data_args,
-                     **kwargs):
-            data = DataBase()
-            data.type = 'py2'
-            data.files = files
-            data.load_data_module = load_data_module
-            data.load_data_object = load_data_object
-            data.load_data_args = load_data_args
-            data.async_load_data = True
-            return data
-
-        data_cls = py_data2
-
     cls(
         data_cls(
             files=file_list,
@@ -207,10 +192,21 @@ def define_py_data_sources2(train_list, test_list, module, obj, args=None):
     :return: None
     :rtype: None
     """
+    def py_data2(files, load_data_module, load_data_object, load_data_args,
+                 **kwargs):
+        data = DataBase()
+        data.type = 'py2'
+        data.files = files
+        data.load_data_module = load_data_module
+        data.load_data_object = load_data_object
+        data.load_data_args = load_data_args
+        data.async_load_data = True
+        return data
+
     define_py_data_sources(
         train_list=train_list,
         test_list=test_list,
         module=module,
         obj=obj,
         args=args,
-        data_cls=None)
+        data_cls=py_data2)