Merge pull request #609 from barrierye/update-images-tag

update images tag

README.md

@@ -37,14 +37,14 @@ We consider deploying deep learning inference service online to be a user-facing
 We **highly recommend** you to **run Paddle Serving in Docker**, please visit [Run in Docker](https://github.com/PaddlePaddle/Serving/blob/develop/doc/RUN_IN_DOCKER.md)
 ```
 # Run CPU Docker
-docker pull hub.baidubce.com/paddlepaddle/serving:0.2.0
-docker run -p 9292:9292 --name test -dit hub.baidubce.com/paddlepaddle/serving:0.2.0
+docker pull hub.baidubce.com/paddlepaddle/serving:latest
+docker run -p 9292:9292 --name test -dit hub.baidubce.com/paddlepaddle/serving:latest
 docker exec -it test bash
 ```
 ```
 # Run GPU Docker
-nvidia-docker pull hub.baidubce.com/paddlepaddle/serving:0.2.0-gpu
-nvidia-docker run -p 9292:9292 --name test -dit hub.baidubce.com/paddlepaddle/serving:0.2.0-gpu
+nvidia-docker pull hub.baidubce.com/paddlepaddle/serving:latest-gpu
+nvidia-docker run -p 9292:9292 --name test -dit hub.baidubce.com/paddlepaddle/serving:latest-gpu
 nvidia-docker exec -it test bash
 ```
 

README_CN.md

@@ -39,14 +39,14 @@ Paddle Serving 旨在帮助深度学习开发者轻易部署在线预测服务
 
 ```
 # 启动 CPU Docker
-docker pull hub.baidubce.com/paddlepaddle/serving:0.2.0
-docker run -p 9292:9292 --name test -dit hub.baidubce.com/paddlepaddle/serving:0.2.0
+docker pull hub.baidubce.com/paddlepaddle/serving:latest
+docker run -p 9292:9292 --name test -dit hub.baidubce.com/paddlepaddle/serving:latest
 docker exec -it test bash
 ```
 ```
 # 启动 GPU Docker
-nvidia-docker pull hub.baidubce.com/paddlepaddle/serving:0.2.0-gpu
-nvidia-docker run -p 9292:9292 --name test -dit hub.baidubce.com/paddlepaddle/serving:0.2.0-gpu
+nvidia-docker pull hub.baidubce.com/paddlepaddle/serving:latest-gpu
+nvidia-docker run -p 9292:9292 --name test -dit hub.baidubce.com/paddlepaddle/serving:latest-gpu
 nvidia-docker exec -it test bash
 ```
 ```shell

doc/ABTEST_IN_PADDLE_SERVING.md

@@ -39,7 +39,7 @@ Here, we [use docker](https://github.com/PaddlePaddle/Serving/blob/develop/doc/R
 First, start the BOW server, which enables the `8000` port:
 
 ``` shell
-docker run -dit -v $PWD/imdb_bow_model:/model -p 8000:8000 --name bow-server hub.baidubce.com/paddlepaddle/serving:0.2.0
+docker run -dit -v $PWD/imdb_bow_model:/model -p 8000:8000 --name bow-server hub.baidubce.com/paddlepaddle/serving:latest
 docker exec -it bow-server bash
 pip install paddle-serving-server
 python -m paddle_serving_server.serve --model model --port 8000 >std.log 2>err.log &
@@ -49,7 +49,7 @@ exit
 Similarly, start the LSTM server, which enables the `9000` port:
 
 ```bash
-docker run -dit -v $PWD/imdb_lstm_model:/model -p 9000:9000 --name lstm-server hub.baidubce.com/paddlepaddle/serving:0.2.0
+docker run -dit -v $PWD/imdb_lstm_model:/model -p 9000:9000 --name lstm-server hub.baidubce.com/paddlepaddle/serving:latest
 docker exec -it lstm-server bash
 pip install paddle-serving-server
 python -m paddle_serving_server.serve --model model --port 9000 >std.log 2>err.log &

doc/ABTEST_IN_PADDLE_SERVING_CN.md

@@ -38,7 +38,7 @@ with open('test_data/part-0') as fin:
 首先启动BOW Server，该服务启用`8000`端口：
 
 ```bash
-docker run -dit -v $PWD/imdb_bow_model:/model -p 8000:8000 --name bow-server hub.baidubce.com/paddlepaddle/serving:0.2.0
+docker run -dit -v $PWD/imdb_bow_model:/model -p 8000:8000 --name bow-server hub.baidubce.com/paddlepaddle/serving:latest
 docker exec -it bow-server bash
 pip install paddle-serving-server -i https://pypi.tuna.tsinghua.edu.cn/simple
 python -m paddle_serving_server.serve --model model --port 8000 >std.log 2>err.log &
@@ -48,7 +48,7 @@ exit
 同理启动LSTM Server，该服务启用`9000`端口：
 
 ```bash
-docker run -dit -v $PWD/imdb_lstm_model:/model -p 9000:9000 --name lstm-server hub.baidubce.com/paddlepaddle/serving:0.2.0
+docker run -dit -v $PWD/imdb_lstm_model:/model -p 9000:9000 --name lstm-server hub.baidubce.com/paddlepaddle/serving:latest
 docker exec -it lstm-server bash
 pip install paddle-serving-server -i https://pypi.tuna.tsinghua.edu.cn/simple
 python -m paddle_serving_server.serve --model model --port 9000 >std.log 2>err.log &

doc/COMPILE.md

@@ -13,8 +13,8 @@
 
 It is recommended to use Docker for compilation. We have prepared the Paddle Serving compilation environment for you: 
 
-- CPU: `hub.baidubce.com/paddlepaddle/serving:0.2.0-devel`，dockerfile: [Dockerfile.devel](../tools/Dockerfile.devel)
-- GPU: `hub.baidubce.com/paddlepaddle/serving:0.2.0-gpu-devel`，dockerfile: [Dockerfile.gpu.devel](../tools/Dockerfile.gpu.devel)
+- CPU: `hub.baidubce.com/paddlepaddle/serving:latest-devel`，dockerfile: [Dockerfile.devel](../tools/Dockerfile.devel)
+- GPU: `hub.baidubce.com/paddlepaddle/serving:latest-gpu-devel`，dockerfile: [Dockerfile.gpu.devel](../tools/Dockerfile.gpu.devel)
 
 This document will take Python2 as an example to show how to compile Paddle Serving. If you want to compile with Python3, just adjust the Python options of cmake:
 

doc/COMPILE_CN.md

@@ -13,8 +13,8 @@
 
 推荐使用Docker编译，我们已经为您准备好了Paddle Serving编译环境：
 
-- CPU: `hub.baidubce.com/paddlepaddle/serving:0.2.0-devel`，dockerfile: [Dockerfile.devel](../tools/Dockerfile.devel)
-- GPU: `hub.baidubce.com/paddlepaddle/serving:0.2.0-gpu-devel`，dockerfile: [Dockerfile.gpu.devel](../tools/Dockerfile.gpu.devel)
+- CPU: `hub.baidubce.com/paddlepaddle/serving:latest-devel`，dockerfile: [Dockerfile.devel](../tools/Dockerfile.devel)
+- GPU: `hub.baidubce.com/paddlepaddle/serving:latest-gpu-devel`，dockerfile: [Dockerfile.gpu.devel](../tools/Dockerfile.gpu.devel)
 
 本文档将以Python2为例介绍如何编译Paddle Serving。如果您想用Python3进行编译，只需要调整cmake的Python相关选项即可：
 

doc/RUN_IN_DOCKER.md

@@ -17,7 +17,7 @@ You can get images in two ways:
 1. Pull image directly
 
    ```bash
-   docker pull hub.baidubce.com/paddlepaddle/serving:0.2.0
+   docker pull hub.baidubce.com/paddlepaddle/serving:latest
    ```
 
 2. Building image based on dockerfile
@@ -25,13 +25,13 @@ You can get images in two ways:
    Create a new folder and copy [Dockerfile](../tools/Dockerfile) to this folder, and run the following command:
 
    ```bash
-   docker build -t hub.baidubce.com/paddlepaddle/serving:0.2.0 .
+   docker build -t hub.baidubce.com/paddlepaddle/serving:latest .
    ```
 
 ### Create container
 
 ```bash
-docker run -p 9292:9292 --name test -dit hub.baidubce.com/paddlepaddle/serving:0.2.0
+docker run -p 9292:9292 --name test -dit hub.baidubce.com/paddlepaddle/serving:latest
 docker exec -it test bash
 ```
 
@@ -109,7 +109,7 @@ You can also get images in two ways:
 1. Pull image directly
 
    ```bash
-   nvidia-docker pull hub.baidubce.com/paddlepaddle/serving:0.2.0-gpu
+   nvidia-docker pull hub.baidubce.com/paddlepaddle/serving:latest-gpu
    ```
 
 2. Building image based on dockerfile
@@ -117,13 +117,13 @@ You can also get images in two ways:
    Create a new folder and copy [Dockerfile.gpu](../tools/Dockerfile.gpu) to this folder, and run the following command:
 
    ```bash
-   nvidia-docker build -t hub.baidubce.com/paddlepaddle/serving:0.2.0-gpu .
+   nvidia-docker build -t hub.baidubce.com/paddlepaddle/serving:latest-gpu .
    ```
 
 ### Create container
 
 ```bash
-nvidia-docker run -p 9292:9292 --name test -dit hub.baidubce.com/paddlepaddle/serving:0.2.0-gpu
+nvidia-docker run -p 9292:9292 --name test -dit hub.baidubce.com/paddlepaddle/serving:latest-gpu
 nvidia-docker exec -it test bash
 ```
 

doc/RUN_IN_DOCKER_CN.md

@@ -17,7 +17,7 @@ Docker（GPU版本需要在GPU机器上安装nvidia-docker）
 1. 直接拉取镜像
 
    ```bash
-   docker pull hub.baidubce.com/paddlepaddle/serving:0.2.0
+   docker pull hub.baidubce.com/paddlepaddle/serving:latest
    ```
 
 2. 基于Dockerfile构建镜像
@@ -25,13 +25,13 @@ Docker（GPU版本需要在GPU机器上安装nvidia-docker）
    建立新目录，复制[Dockerfile](../tools/Dockerfile)内容到该目录下Dockerfile文件。执行
 
    ```bash
-   docker build -t hub.baidubce.com/paddlepaddle/serving:0.2.0 .
+   docker build -t hub.baidubce.com/paddlepaddle/serving:latest .
    ```
 
 ### 创建容器并进入
 
 ```bash
-docker run -p 9292:9292 --name test -dit hub.baidubce.com/paddlepaddle/serving:0.2.0
+docker run -p 9292:9292 --name test -dit hub.baidubce.com/paddlepaddle/serving:latest
 docker exec -it test bash
 ```
 
@@ -107,7 +107,7 @@ GPU版本与CPU版本基本一致，只有部分接口命名的差别（GPU版
 1. 直接拉取镜像
 
    ```bash
-   nvidia-docker pull hub.baidubce.com/paddlepaddle/serving:0.2.0-gpu
+   nvidia-docker pull hub.baidubce.com/paddlepaddle/serving:latest-gpu
    ```
 
 2. 基于Dockerfile构建镜像
@@ -115,13 +115,13 @@ GPU版本与CPU版本基本一致，只有部分接口命名的差别（GPU版
    建立新目录，复制[Dockerfile.gpu](../tools/Dockerfile.gpu)内容到该目录下Dockerfile文件。执行
 
    ```bash
-   nvidia-docker build -t hub.baidubce.com/paddlepaddle/serving:0.2.0-gpu .
+   nvidia-docker build -t hub.baidubce.com/paddlepaddle/serving:latest-gpu .
    ```
 
 ### 创建容器并进入
 
 ```bash
-nvidia-docker run -p 9292:9292 --name test -dit hub.baidubce.com/paddlepaddle/serving:0.2.0-gpu
+nvidia-docker run -p 9292:9292 --name test -dit hub.baidubce.com/paddlepaddle/serving:latest-gpu
 nvidia-docker exec -it test bash
 ```