Merge branch 'develop' into fix_bug_on_localWebService

python/examples/encryption/README.md

@@ -26,7 +26,7 @@ def serving_encryption():
         serving_client="encrypt_client",
         encryption=True)
 ```
-dirname is the folder path where the model is located. If the parameter is discrete, it is unnecessary to specify params_filename, else you need to set params_filename='__params__'.
+dirname is the folder path where the model is located. If the parameter is discrete, it is unnecessary to specify params_filename, else you need to set `params_filename="__params__"`.
 
 The key is stored in the `key` file, and the encrypted model file and server-side configuration file are stored in the `encrypt_server` directory.
 client-side configuration file are stored in the `encrypt_client` directory.

python/examples/encryption/README_CN.md

@@ -13,7 +13,7 @@ sh get_data.sh
 ## 模型加密
 本示例中使用了`paddlepaddle`包中的模块，需要进行下载（`pip install paddlepaddle`）。
 
-[python encrypt.py](./encrypt.py)
+运行[python encrypt.py](./encrypt.py)进行模型加密
 
 [//file]:#encrypt.py
 ``` python
@@ -25,7 +25,9 @@ def serving_encryption():
         serving_client="encrypt_client",
         encryption=True)
 ```
-其中dirname为模型所在的文件夹路径，当参数为离散参数时，无须指定params_filename，当参数为为__params__时，需指定params_filename='__params__'.
+其中dirname为模型所在的文件夹路径
+
+当参数为离散参数时，无须指定params_filename，当参数为__params__时，需指定`params_filename="__params__"`
 
 密钥保存在`key`文件中，加密模型文件以及server端配置文件保存在`encrypt_server`目录下，client端配置文件保存在`encrypt_client`目录下。