Merge pull request #2871 from HexToString/dygraph

update doc and  make gpu_id =0 by default in Dygraph  Branch

deploy/pdserving/README.md

@@ -37,11 +37,11 @@ PaddleOCR operating environment and Paddle Serving operating environment are nee
 
     Install serving which used to start the service
     ```
-    pip3 install paddle-serving-server==0.6.0 # for CPU
-    pip3 install paddle-serving-server-gpu==0.6.0 # for GPU
+    pip3 install paddle-serving-server==0.6.1 # for CPU
+    pip3 install paddle-serving-server-gpu==0.6.1 # for GPU
     # Other GPU environments need to confirm the environment and then choose to execute the following commands
-    pip3 install paddle-serving-server-gpu==0.6.0.post101 # GPU with CUDA10.1 + TensorRT6
-    pip3 install paddle-serving-server-gpu==0.6.0.post11 # GPU with CUDA11 + TensorRT7
+    pip3 install paddle-serving-server-gpu==0.6.1.post101 # GPU with CUDA10.1 + TensorRT6
+    pip3 install paddle-serving-server-gpu==0.6.1.post11 # GPU with CUDA11 + TensorRT7
     ```
 
 3. Install the client to send requests to the service
@@ -55,7 +55,7 @@ PaddleOCR operating environment and Paddle Serving operating environment are nee
 
 4. Install serving-app
     ```
-    pip3 install paddle-serving-app==0.6.0
+    pip3 install paddle-serving-app==0.6.1
     ```
 
    **note:** If you want to install the latest version of PaddleServing, refer to [link](https://github.com/PaddlePaddle/Serving/blob/develop/doc/LATEST_PACKAGES.md).
@@ -204,7 +204,9 @@ Windows does not support Pipeline Serving, if we want to lauch paddle serving on
 
 ```
 cd win
-python3 ocr_web_server.py
+python3 ocr_web_server.py gpu(for gpu user)
+or
+python3 ocr_web_server.py cpu(for cpu user)
 ```
 
 2. Client Send Requests

deploy/pdserving/README_CN.md

@@ -36,11 +36,11 @@ PaddleOCR提供2种服务部署方式：
 
 1. 安装serving，用于启动服务
     ```
-    pip3 install paddle-serving-server==0.6.0 # for CPU
-    pip3 install paddle-serving-server-gpu==0.6.0 # for GPU
+    pip3 install paddle-serving-server==0.6.1 # for CPU
+    pip3 install paddle-serving-server-gpu==0.6.1 # for GPU
     # 其他GPU环境需要确认环境再选择执行如下命令
-    pip3 install paddle-serving-server-gpu==0.6.0.post101 # GPU with CUDA10.1 + TensorRT6
-    pip3 install paddle-serving-server-gpu==0.6.0.post11 # GPU with CUDA11 + TensorRT7
+    pip3 install paddle-serving-server-gpu==0.6.1.post101 # GPU with CUDA10.1 + TensorRT6
+    pip3 install paddle-serving-server-gpu==0.6.1.post11 # GPU with CUDA11 + TensorRT7
     ```
 
 2. 安装client，用于向服务发送请求
@@ -53,7 +53,7 @@ PaddleOCR提供2种服务部署方式：
 
 3. 安装serving-app
     ```
-    pip3 install paddle-serving-app==0.6.0
+    pip3 install paddle-serving-app==0.6.1
     ```
 
     **Note:** 如果要安装最新版本的PaddleServing参考[链接](https://github.com/PaddlePaddle/Serving/blob/develop/doc/LATEST_PACKAGES.md)。
@@ -200,7 +200,9 @@ Windows用户不能使用上述的启动方式，需要使用Web Service，详
 
 ```
 cd win 
-python3 ocr_web_server.py
+python3 ocr_web_server.py gpu(使用gpu方式)
+或者
+python3 ocr_web_server.py cpu(使用cpu方式)
 ```
 
 2. 发送服务请求

deploy/pdserving/win/ocr_web_server.py

@@ -42,7 +42,7 @@ class OCRService(WebService):
         self.det_client = LocalPredictor()
         if sys.argv[1] == 'gpu':
             self.det_client.load_model_config(
-                det_model_config, use_gpu=True, gpu_id=1)
+                det_model_config, use_gpu=True, gpu_id=0)
         elif sys.argv[1] == 'cpu':
             self.det_client.load_model_config(det_model_config)
         self.ocr_reader = OCRReader(