fix ci test=develop

core/configure/proto/multi_lang_general_model_service.proto

@@ -45,12 +45,11 @@ message ModelOutput {
   optional string engine_name = 2;
 };
 
-message EmptyRequest{
-};
+message EmptyRequest {};
 
-message ServingConfig{
-    required int32 max_batch_size = 1;
-    required string proto_txt = 2;
+message ServingConfig {
+  required int32 max_batch_size = 1;
+  required string proto_txt = 2;
 };
 
 service MultiLangGeneralModelService {

python/paddle_serving_client/__init__.py

@@ -392,19 +392,18 @@ class MultiLangClient(object):
             raise Exception("GClient only supports multi-model temporarily")
         with open(path, 'r') as f:
             proto_txt = str(f.read())
-        
+
         self._parse_model_config(proto_txt)
 
     def _load_client_config(self):
-        req= pb2.EmptyRequest()
-        self._config  = self.stub_.get_config(req)
+        req = pb2.EmptyRequest()
+        self._config = self.stub_.get_config(req)
         self._parse_model_config(self._config.proto_txt)
         #print("config:", self._config)
 
     def connect(self, endpoint, use_remote_config=True):
         self.channel_ = grpc.insecure_channel(endpoint[0])  #TODO
-        self.stub_ = grpc_pb2.MultiLangGeneralModelServiceStub(
-            self.channel_)
+        self.stub_ = grpc_pb2.MultiLangGeneralModelServiceStub(self.channel_)
 
         if use_remote_config:
             self._load_client_config()
@@ -551,6 +550,7 @@ class MultiLangClient(object):
                     is_python=is_python,
                     need_variant_tag=need_variant_tag))
 
+
 class MultiLangPredictFuture(object):
     def __init__(self, call_future, callback_func):
         self.call_future_ = call_future

python/paddle_serving_server/__init__.py

@@ -440,8 +440,7 @@ class Server(object):
         os.system(command)
 
 
-class MultiLangServerService(
-        grpc_pb2.MultiLangGeneralModelService):
+class MultiLangServerService(grpc_pb2.MultiLangGeneralModelService):
     def __init__(self, model_config_path, endpoints):
         from paddle_serving_client import Client
 
@@ -454,7 +453,7 @@ class MultiLangServerService(
         self.bclient_.load_client_config(path)
         self.bclient_.connect(endpoints)
 
-        self._max_batch_size = -1 #  <=0:infinite
+        self._max_batch_size = -1  #  <=0:infinite
         self._proto_txt = proto_txt
 
     def _parse_model_config(self, proto_txt):
@@ -546,8 +545,7 @@ class MultiLangServerService(
             feed=feed_dict, fetch=fetch_names, need_variant_tag=True)
         return self._pack_resp_package(data, fetch_names, is_python, tag)
 
-    
-    
+
 class MultiLangServer(object):
     def __init__(self, worker_num=2):
         self.bserver_ = Server()

python/paddle_serving_server_gpu/__init__.py

@@ -484,8 +484,7 @@ class Server(object):
         os.system(command)
 
 
-class MultiLangServerService(
-        grpc_pb2.MultiLangGeneralModelService):
+class MultiLangServerService(grpc_pb2.MultiLangGeneralModelService):
     def __init__(self, model_config_path, endpoints):
         from paddle_serving_client import Client
 
@@ -498,10 +497,9 @@ class MultiLangServerService(
         self.bclient_.load_client_config(path)
         self.bclient_.connect(endpoints)
 
-        self._max_batch_size = -1 #  <=0:unknown
+        self._max_batch_size = -1  #  <=0:unknown
         self._proto_txt = proto_txt
 
-
     def _parse_model_config(self, proto_txt):
         model_conf = m_config.GeneralModelConfig()
         model_conf = google.protobuf.text_format.Merge(proto_txt, model_conf)
@@ -597,7 +595,7 @@ class MultiLangServerService(
         max_batch_size = os.getenv(key)
         if max_batch_size:
             try:
-                max_batch_size=int(max_batch_size)
+                max_batch_size = int(max_batch_size)
                 self._max_batch_size = max_batch_size
             except Exception as e:
                 print("invalid value:{} of {}".format(max_batch_size, key))

tools/cpp_examples/bert-gpu-serving/paddle-gpu-serving/setup.py

@@ -23,7 +23,7 @@ info_content = open(info_py, 'r').readlines()
 version_line = [
     l.strip() for l in info_content if l.startswith('__version__')
 ][0]
-exec (version_line)  # produce __version__
+exec(version_line)  # produce __version__
 
 setuptools.setup(
     name="paddle-gpu-serving",