diff --git a/example/sentiment-classification/sentiment_classify.py b/example/sentiment-classification/sentiment_classify.py
index 571b4ddcec46c6a748d51672b701f4153a959fad..7fa4a560b8d1c9b222bc0b331278a3e7c7e3776f 100644
--- a/example/sentiment-classification/sentiment_classify.py
+++ b/example/sentiment-classification/sentiment_classify.py
@@ -124,11 +124,6 @@ def train_net(train_reader,
     sgd_optimizer = fluid.optimizer.Adagrad(learning_rate=lr)
     sgd_optimizer.minimize(cost)
 
-    # write default main program
-    with open("./bow_net.backward.program_desc.prototxt", "w") as fo:
-        program_desc = str(fluid.default_main_program())
-        fo.write(program_desc)
-
     # set place, executor, datafeeder
     place = fluid.CUDAPlace(0) if use_gpu else fluid.CPUPlace()
     exe = fluid.Executor(place)
@@ -221,10 +216,10 @@ def finetune_net(train_reader,
                 fluid.layers.cross_entropy(input=pred, label=label))
             acc = fluid.layers.accuracy(input=pred, label=label)
 
-            with open("./prototxt/bow_net.forward.program_desc.prototxt",
-                      "w") as fo:
-                program_desc = str(fluid.default_main_program())
-                fo.write(program_desc)
+            # with open("./prototxt/bow_net.forward.program_desc.prototxt",
+            #           "w") as fo:
+            #     program_desc = str(fluid.default_main_program())
+            #     fo.write(program_desc)
             # set optimizer
             sgd_optimizer = fluid.optimizer.Adagrad(learning_rate=lr)
             sgd_optimizer.minimize(cost)
diff --git a/paddle_hub/module.py b/paddle_hub/module.py
index 535a37a52db803893eb55063c95613d509cd2f98..69ad0d866a1d8ba8b0b6422d731bb6373d9dee3a 100644
--- a/paddle_hub/module.py
+++ b/paddle_hub/module.py
@@ -194,7 +194,7 @@ class Module(object):
         return lod_tensor
 
     def _word_id_mapping(self, inputs):
-        word_dict = self.config.get_dict()
+        word_dict = self.config.get_assets_vocab()
         return list(map(lambda x: word_dict[x], inputs))
 
 
@@ -214,7 +214,7 @@ class ModuleConfig(object):
         self.dict = defaultdict(int)
         self.dict.setdefault(0)
 
-    def get_dict(self):
+    def get_assets_vocab(self):
         """ Return dictionary in Module"""
         return self.dict