diff --git a/python/paddle/fluid/data_feeder.py b/python/paddle/fluid/data_feeder.py
index 5102a558fd3fdfd89ad769cd3a10f5dc3ea78716..13d2893fd146b5a3d9100ee1ba6c2243cb9c411b 100644
--- a/python/paddle/fluid/data_feeder.py
+++ b/python/paddle/fluid/data_feeder.py
@@ -258,10 +258,13 @@ class DataFeeder(object):
         multiple mini-batches. Each mini-batch will be feed on each device.
 
         Args:
-            reader(fun): the input data.
-            multi_devices(bool): the number of places. Default None.
-            num_places(int): the number of places. Default None.
-            drop_last(bool): the number of places. Default None.
+            reader(function): the reader is the function which can generate data.
+            multi_devices(bool): whether to use multiple devices or not.
+            num_places(int): if the multi_devices is True, you can specify the number
+                of GPU to use, if 'num_places' is None, the function will use all the
+                GPU of the current machine. Default None.
+            drop_last(bool): whether to drop the last batch if the
+                size of the last batch is less than batch_size. Default True.
 
         Returns:
             dict: the result of conversion.
diff --git a/python/paddle/fluid/io.py b/python/paddle/fluid/io.py
index 0782933c6c4851b410ee3fdf14d4f9d9e83d49cc..e74a87fc68db0e126098f7188db4a712dff2612d 100644
--- a/python/paddle/fluid/io.py
+++ b/python/paddle/fluid/io.py
@@ -145,7 +145,7 @@ def save_vars(executor,
 
             prog = fluid.default_main_program()
             fluid.io.save_vars(executor=exe, dirname=path, main_program=prog,
-                               vars=None)
+                               vars=None, predicate = name_has_fc)
             # All variables in `main_program` whose name includes "fc" will be saved.
             # And variables are going to be saved separately.
 
@@ -369,7 +369,7 @@ def load_vars(executor,
 
             prog = fluid.default_main_program()
             fluid.io.load_vars(executor=exe, dirname=path, main_program=prog,
-                               vars=None)
+                               vars=None, predicate=name_has_fc)
             # All variables in `main_program` whose name includes "fc" will be loaded.
             # And all the variables are supposed to have been saved in differnet files.