Merge pull request #1649 from TeslaZhao/develop

Update doc

README.md

@@ -62,7 +62,6 @@ This chapter guides you through the installation and deployment steps. It is str
 - [Deploy Paddle Serving on Kubernetes(Chinese)](doc/Run_On_Kubernetes_CN.md)
 - [Deploy Paddle Serving with Security gateway(Chinese)](doc/Serving_Auth_Docker_CN.md)
 - Deploy on more hardwares[[百度昆仑](doc/Run_On_XPU_CN.md)、[华为昇腾](doc/Run_On_NPU_CN.md)、[海光DCU](doc/Run_On_DCU_CN.md)、[Jetson](doc/Run_On_JETSON_CN.md)]
-- [Docker镜像](doc/Docker_Images_CN.md)
 - [Docker Images](doc/Docker_Images_EN.md)
 - [Latest Wheel packages](doc/Latest_Packages_CN.md)
 
@@ -86,6 +85,7 @@ The first step is to call the model save interface to generate a model parameter
   - [Multiple models in series(Chinese)](doc/C++_Serving/2+_model.md)
 - [Python Pipeline](doc/Python_Pipeline/Pipeline_Design_EN.md)
   - [Analyze and optimize performance](doc/Python_Pipeline/Performance_Tuning_EN.md)
+  - [TensorRT dynamic Shape](doc/TensorRT_Dynamic_Shape_EN.md)
   - [Benchmark(Chinese)](doc/Python_Pipeline/Benchmark_CN.md)
 - Client SDK
   - [Python SDK(Chinese)](doc/C++_Serving/Introduction_CN.md#42-多语言多协议Client)

README_CN.md

@@ -80,6 +80,7 @@ Paddle Serving依托深度学习框架PaddlePaddle旨在帮助深度学习开发
   - [多模型串联](doc/C++_Serving/2+_model.md)
 - [Python Pipeline设计](doc/Python_Pipeline/Pipeline_Design_CN.md)
   - [性能优化指南](doc/Python_Pipeline/Performance_Tuning_CN.md)
+  - [TensorRT动态shape](doc/TensorRT_Dynamic_Shape_CN.md)
   - [性能指标](doc/Python_Pipeline/Benchmark_CN.md)
 - 客户端SDK
   - [Python SDK](doc/C++_Serving/Introduction_CN.md#42-多语言多协议Client)

doc/Quick_Start_CN.md

@@ -23,25 +23,8 @@ Paddle Serving 为用户提供了基于 HTTP 和 RPC 的服务
 ``` shell
 python3 -m paddle_serving_server.serve --model uci_housing_model --thread 10 --port 9292
 ```
-<center>
-
-| Argument                                       | Type | Default | Description                                           |
-| ---------------------------------------------- | ---- | ------- | ----------------------------------------------------- |
-| `thread`                                       | int  | `2`     | Number of brpc service thread                         |
-| `op_num`                                       | int[]| `0`     | Thread Number for each model in asynchronous mode     |
-| `op_max_batch`                                 | int[]| `32`    | Batch Number for each model in asynchronous mode      |
-| `gpu_ids`                                      | str[]| `"-1"`  | Gpu card id for each model                            |
-| `port`                                         | int  | `9292`  | Exposed port of current service to users              |
-| `model`                                        | str[]| `""`    | Path of paddle model directory to be served           |
-| `mem_optim_off`                                | -    | -       | Disable memory / graphic memory optimization          |
-| `ir_optim`                                     | bool | False   | Enable analysis and optimization of calculation graph |
-| `use_mkl` (Only for cpu version)               | -    | -       | Run inference with MKL                                |
-| `use_trt` (Only for trt version)               | -    | -       | Run inference with TensorRT                           |
-| `use_lite` (Only for Intel x86 CPU or ARM CPU) | -    | -       | Run PaddleLite inference                              |
-| `use_xpu`                                      | -    | -       | Run PaddleLite inference with Baidu Kunlun XPU        |
-| `precision`                                    | str  | FP32    | Precision Mode, support FP32, FP16, INT8              |
-| `use_calib`                                    | bool | False   | Use TRT int8 calibration                              |
-| `gpu_multi_stream`                             | bool | False   | EnableGpuMultiStream to get larger QPS                |
+
+完整参数列表参阅文档[Serving配置](doc/Serving_Configure_EN.md#c-serving)
 
 #### 异步模型的说明
     异步模式适用于1、请求数量非常大的情况，2、多模型串联，想要分别指定每个模型的并发数的情况。

doc/Quick_Start_EN.md

@@ -20,23 +20,8 @@ A user can also start a RPC service with `paddle_serving_server.serve`. RPC serv
 ``` shell
 python3 -m paddle_serving_server.serve --model uci_housing_model --thread 10 --port 9292
 ```
-<center>
-
-| Argument                                       | Type | Default | Description                                           |
-| ---------------------------------------------- | ---- | ------- | ----------------------------------------------------- |
-| `thread`                                       | int  | `4`     | Concurrency of current service                        |
-| `port`                                         | int  | `9292`  | Exposed port of current service to users              |
-| `model`                                        | str  | `""`    | Path of paddle model directory to be served           |
-| `mem_optim_off`                                | -    | -       | Disable memory / graphic memory optimization          |
-| `ir_optim`                                     | bool | False   | Enable analysis and optimization of calculation graph |
-| `use_mkl` (Only for cpu version)               | -    | -       | Run inference with MKL                                |
-| `use_trt` (Only for trt version)               | -    | -       | Run inference with TensorRT                           |
-| `use_lite` (Only for Intel x86 CPU or ARM CPU) | -    | -       | Run PaddleLite inference                              |
-| `use_xpu`                                      | -    | -       | Run PaddleLite inference with Baidu Kunlun XPU        |
-| `precision`                                    | str  | FP32    | Precision Mode, support FP32, FP16, INT8              |
-| `use_calib`                                    | bool | False   | Only for deployment with TensorRT                     |
-
-</center>
+
+For a complete list of parameters, see the document [Serving Configuration](doc/Serving_Configure_CN.md#c-serving)
 
 ```python
 # A user can visit rpc service through paddle_serving_client API

doc/Serving_Configure_CN.md

-# Serving Configuration
+# Serving配置
 
 (简体中文|[English](./Serving_Configure_EN.md))