unify serve and web_serve in paddle_serving_server

python/paddle_serving_server_gpu/__init__.py

@@ -42,7 +42,7 @@ def serve_args():
         "--device", type=str, default="gpu", help="Type of device")
     parser.add_argument("--gpu_ids", type=str, default="", help="gpu ids")
     parser.add_argument(
-        "--name", type=str, default="default", help="Default service name")
+        "--name", type=str, default="None", help="Default service name")
     return parser.parse_args()
 
 

python/paddle_serving_server_gpu/serve.py

@@ -88,4 +88,18 @@ def start_multi_card(args):  # pylint: disable=doc-string-missing
 
 if __name__ == "__main__":
     args = serve_args()
+    if args.name == "None":
         start_multi_card(args)
+    else:
+        web_service = WebService(name=args.name)
+        web_service.load_model_config(args.model)
+        gpu_ids = []
+        if args.gpu_ids == "":
+            if "CUDA_VISIBLE_DEVICES" in os.environ:
+                gpu_ids = os.environ["CUDA_VISIBLE_DEVICES"]
+        if len(gpu_ids) > 0:
+            gpus = [int(x) for x in gpu_ids.split(",")]
+            web_service.set_gpus(gpus)
+        web_service.prepare_server(
+            workdir=args.workdir, port=args.port, device=args.device)
+        web_service.run_server()

python/paddle_serving_server_gpu/web_serve.py

-# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-"""
-Usage:
-    Host a trained paddle model with one line command
-    Example:
-        python -m paddle_serving_server.web_serve --model ./serving_server_model --port 9292
-"""
-import os
-from multiprocessing import Pool, Process
-from .web_service import WebService
-import paddle_serving_server_gpu as serving
-from paddle_serving_server_gpu import serve_args
-
-if __name__ == "__main__":
-    args = serve_args()
-    web_service = WebService(name=args.name)
-    web_service.load_model_config(args.model)
-    gpu_ids = []
-    if args.gpu_ids == "":
-        if "CUDA_VISIBLE_DEVICES" in os.environ:
-            gpu_ids = os.environ["CUDA_VISIBLE_DEVICES"]
-    if len(gpu_ids) > 0:
-        gpus = [int(x) for x in gpu_ids.split(",")]
-        web_service.set_gpus(gpus)
-    web_service.prepare_server(
-        workdir=args.workdir, port=args.port, device=args.device)
-    web_service.run_server()