diff --git a/python/paddle_serving_client/client.py b/python/paddle_serving_client/client.py
index eeecd9d6ebc7d489d4ce038383ecb78d8fa55464..7d723f3824c317802885e0a9a78acf45c8ec16a2 100755
--- a/python/paddle_serving_client/client.py
+++ b/python/paddle_serving_client/client.py
@@ -326,8 +326,8 @@ class Client(object):
         string_feed_names = []
         string_lod_slot_batch = []
         string_shape = []
-
         fetch_names = []
+
         counter = 0
         # batch_size must be 1, cause batch is already in Tensor.
         batch_size = len(feed_batch)
@@ -339,7 +339,6 @@ class Client(object):
         if len(fetch_names) == 0:
             raise ValueError(
                 "Fetch names should not be empty or out of saved fetch list.")
-            return {}
 
         for i, feed_i in enumerate(feed_batch):
             int_slot = []
diff --git a/python/paddle_serving_server/web_service.py b/python/paddle_serving_server/web_service.py
index b2ef5979c2ffd821936655ff2ed5182020b34eb1..346644ffb89329b419602e976b449dafc7ee3101 100755
--- a/python/paddle_serving_server/web_service.py
+++ b/python/paddle_serving_server/web_service.py
@@ -92,7 +92,7 @@ class WebService(object):
         f = open(file_path_list[0], 'r')
         model_conf = google.protobuf.text_format.Merge(
             str(f.read()), model_conf)
-        self.feed_vars = {var.name: var for var in model_conf.feed_var}
+        self.feed_vars = {var.alias_name: var for var in model_conf.feed_var}
 
         if len(file_path_list) > 1:
             model_conf = m_config.GeneralModelConfig()
@@ -100,7 +100,7 @@ class WebService(object):
             model_conf = google.protobuf.text_format.Merge(
                 str(f.read()), model_conf)
 
-        self.fetch_vars = {var.name: var for var in model_conf.fetch_var}
+        self.fetch_vars = {var.alias_name: var for var in model_conf.fetch_var}
         if client_config_path == None:
             self.client_config_path = file_path_list