fix doc

doc/SAVE.md

@@ -10,8 +10,9 @@ serving_io.save_model("imdb_model", "imdb_client_conf",
                       {"words": data}, {"prediction": prediction},
                       fluid.default_main_program())
 ```
-`imdb_model` is the server side model with serving configurations. `imdb_client_conf` is the client rpc configurations. Serving has a 
-dictionary for `Feed` and `Fetch` variables for client to assign. In the example, `{"words": data}` is the feed dict that specify the input of saved inference model. `{"prediction": prediction}` is the fetch dic that specify the output of saved inference model. An alias name can be defined for feed and fetch variables. An example of how to use alias name
+`imdb_model` is the server side model with serving configurations. `imdb_client_conf` is the client rpc configurations. 
+
+Serving has a dictionary for `Feed` and `Fetch` variables for client to assign. In the example, `{"words": data}` is the feed dict that specify the input of saved inference model. `{"prediction": prediction}` is the fetch dic that specify the output of saved inference model. An alias name can be defined for feed and fetch variables. An example of how to use alias name
  is as follows:
  ``` python
  from paddle_serving_client import Client
@@ -38,7 +39,11 @@ import paddle_serving_client.io as serving_io
 serving_io.inference_model_to_serving(dirname, model_filename=None, params_filename=None, serving_server="serving_server", serving_client="serving_client")
 ```
 dirname (str) - Path of saved model files. Program file and parameter files are saved in this directory.
+
 model_filename (str, optional) - The name of file to load the inference program. If it is None, the default filename __model__ will be used. Default: None.
+
 paras_filename (str, optional) - The name of file to load all parameters. It is only used for the case that all parameters were saved in a single binary file. If parameters were saved in separate files, set it as None. Default: None.
+
 serving_server (str, optional) - The path of model files and configuration files for server. Default: "serving_server".
+
 serving_client (str, optional) - The path of configuration files for client. Default: "serving_client".

doc/SAVE_CN.md

@@ -11,7 +11,9 @@ serving_io.save_model("imdb_model", "imdb_client_conf",
                       {"words": data}, {"prediction": prediction},
                       fluid.default_main_program())
 ```
-imdb_model是具有服务配置的服务器端模型。 imdb_client_conf是客户端rpc配置。 Serving有一个 提供给用户存放Feed和Fetch变量信息的字典。 在示例中，`{words”：data}` 是用于指定已保存推理模型输入的提要字典。`{"prediction"：projection}`是指定保存的推理模型输出的字典。可以为feed和fetch变量定义一个别名。 如何使用别名的例子 示例如下：
+imdb_model是具有服务配置的服务器端模型。 imdb_client_conf是客户端rpc配置。
+
+Serving有一个提供给用户存放Feed和Fetch变量信息的字典。 在示例中，`{words”：data}` 是用于指定已保存推理模型输入的提要字典。`{"prediction"：projection}`是指定保存的推理模型输出的字典。可以为feed和fetch变量定义一个别名。 如何使用别名的例子 示例如下：
 
  ``` python
  from paddle_serving_client import Client
@@ -38,7 +40,11 @@ import paddle_serving_client.io as serving_io
 serving_io.inference_model_to_serving(dirname, model_filename=None, params_filename=None, serving_server="serving_server", serving_client="serving_client")
 ```
 dirname (str) – 需要转换的模型文件存储路径，Program结构文件和参数文件均保存在此目录。
+
 model_filename (str，可选) – 存储需要转换的模型Inference Program结构的文件名称。如果设置为None，则使用 __model__ 作为默认的文件名。默认值为None。
+
 params_filename (str，可选) – 存储需要转换的模型所有参数的文件名称。当且仅当所有模型参数被保存在一个单独的二进制文件中，它才需要被指定。如果模型参数是存储在各自分离的文件中，设置它的值为None。默认值为None。
+
 serving_server (str, 可选) - 转换后的模型文件和配置文件的存储路径。默认值为"serving_server"。
+
 serving_client (str, 可选) - 转换后的客户端配置文件存储路径。默认值为"serving_client"。