speed up

python/paddle_serving_client/__init__.py

@@ -446,14 +446,12 @@ class MultiLangClient(object):
                 v_type = self.feed_types_[name]
                 if v_type == 0:  # int64
                     if isinstance(var, np.ndarray):
-                        tensor.int64_data.extend(
-                            self._flatten_list(var.tolist()))
+                        tensor.int64_data.extend(var.reshape(-1).tolist())
                     else:
                         tensor.int64_data.extend(self._flatten_list(var))
                 elif v_type == 1:  # float32
                     if isinstance(var, np.ndarray):
-                        tensor.float_data.extend(
-                            self._flatten_list(var.tolist()))
+                        tensor.float_data.extend(var.reshape(-1).tolist())
                     else:
                         tensor.float_data.extend(self._flatten_list(var))
                 else:

python/paddle_serving_server/__init__.py

@@ -513,11 +513,9 @@ class MultiLangServerService(
             tensor = multi_lang_general_model_service_pb2.Tensor()
             v_type = self.fetch_types_[name]
             if v_type == 0:  # int64
-                tensor.int64_data.extend(
-                    self._flatten_list(result[name].tolist()))
+                tensor.int64_data.extend(result[name].reshape(-1).tolist())
             elif v_type == 1:  # float32
-                tensor.float_data.extend(
-                    self._flatten_list(result[name].tolist()))
+                tensor.float_data.extend(result[name].reshape(-1).tolist())
             else:
                 raise Exception("error type.")
             tensor.shape.extend(list(result[name].shape))