hub->registry

README.md

@@ -21,7 +21,7 @@
 <p>
 
 - [Motivation](./README.md#motivation)
-- [AIStudio Tutorial](./README.md#aistudio-tutorial)
+- [AIStudio Tutorial](./README.md#aistuio-tutorial)
 - [Installation](./README.md#installation)
 - [Quick Start Example](./README.md#quick-start-example)
 - [Document](README.md#document)
@@ -42,7 +42,7 @@ We consider deploying deep learning inference service online to be a user-facing
 </p>
 
 
-<h2 align="center">AIStudio Tutorial</h2>
+<h2 align="center">AIStudio Turorial</h2>
 
 Here we provide tutorial on AIStudio(Chinese Version) [AIStudio教程-Paddle Serving服务化部署框架](https://aistudio.baidu.com/aistudio/projectdetail/1550674)
 
@@ -75,15 +75,15 @@ We **highly recommend** you to **run Paddle Serving in Docker**, please visit [R
 
 ```
 # Run CPU Docker
-docker pull hub.baidubce.com/paddlepaddle/serving:0.5.0-devel
-docker run -p 9292:9292 --name test -dit hub.baidubce.com/paddlepaddle/serving:0.5.0-devel
+docker pull registry.baidubce.com/paddlepaddle/serving:0.5.0-devel
+docker run -p 9292:9292 --name test -dit registry.baidubce.com/paddlepaddle/serving:0.5.0-devel
 docker exec -it test bash
 git clone https://github.com/PaddlePaddle/Serving
 ```
 ```
 # Run GPU Docker
-nvidia-docker pull hub.baidubce.com/paddlepaddle/serving:0.5.0-cuda10.2-cudnn8-devel
-nvidia-docker run -p 9292:9292 --name test -dit hub.baidubce.com/paddlepaddle/serving:0.5.0-cuda10.2-cudnn8-devel
+nvidia-docker pull registry.baidubce.com/paddlepaddle/serving:0.5.0-cuda10.2-cudnn8-devel
+nvidia-docker run -p 9292:9292 --name test -dit registry.baidubce.com/paddlepaddle/serving:0.5.0-cuda10.2-cudnn8-devel
 nvidia-docker exec -it test bash
 git clone https://github.com/PaddlePaddle/Serving
 ```

README_CN.md

@@ -76,15 +76,15 @@ Paddle Serving开发者为您提供了简单易用的[AIStudio教程-Paddle Serv
 
 ```
 # 启动 CPU Docker
-docker pull hub.baidubce.com/paddlepaddle/serving:0.5.0-devel
-docker run -p 9292:9292 --name test -dit hub.baidubce.com/paddlepaddle/serving:0.5.0-devel
+docker pull registry.baidubce.com/paddlepaddle/serving:0.5.0-devel
+docker run -p 9292:9292 --name test -dit registry.baidubce.com/paddlepaddle/serving:0.5.0-devel
 docker exec -it test bash
 git clone https://github.com/PaddlePaddle/Serving
 ```
 ```
 # 启动 GPU Docker
-nvidia-docker pull hub.baidubce.com/paddlepaddle/serving:0.5.0-cuda10.2-cudnn8-devel
-nvidia-docker run -p 9292:9292 --name test -dit hub.baidubce.com/paddlepaddle/serving:0.5.0-cuda10.2-cudnn8-devel
+nvidia-docker pull registry.baidubce.com/paddlepaddle/serving:0.5.0-cuda10.2-cudnn8-devel
+nvidia-docker run -p 9292:9292 --name test -dit registry.baidubce.com/paddlepaddle/serving:0.5.0-cuda10.2-cudnn8-devel
 nvidia-docker exec -it test bash
 git clone https://github.com/PaddlePaddle/Serving
 ```

doc/ABTEST_IN_PADDLE_SERVING.md

@@ -36,7 +36,7 @@ Here, we [use docker](RUN_IN_DOCKER.md) to start the server-side service.
 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:latest /bin/bash
+docker run -dit -v $PWD/imdb_bow_model:/model -p 8000:8000 --name bow-server registry.baidubce.com/paddlepaddle/serving:latest /bin/bash
 docker exec -it bow-server /bin/bash
 pip install paddle-serving-server -i https://pypi.tuna.tsinghua.edu.cn/simple
 pip install paddle-serving-client -i https://pypi.tuna.tsinghua.edu.cn/simple
@@ -47,7 +47,7 @@ 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:latest /bin/bash
+docker run -dit -v $PWD/imdb_lstm_model:/model -p 9000:9000 --name lstm-server registry.baidubce.com/paddlepaddle/serving:latest /bin/bash
 docker exec -it lstm-server /bin/bash
 pip install paddle-serving-server -i https://pypi.tuna.tsinghua.edu.cn/simple
 pip install paddle-serving-client -i https://pypi.tuna.tsinghua.edu.cn/simple

doc/ABTEST_IN_PADDLE_SERVING_CN.md

@@ -35,7 +35,7 @@ pip install Shapely
 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:latest /bin/bash
+docker run -dit -v $PWD/imdb_bow_model:/model -p 8000:8000 --name bow-server registry.baidubce.com/paddlepaddle/serving:latest /bin/bash
 docker exec -it bow-server /bin/bash
 pip install paddle-serving-server -i https://pypi.tuna.tsinghua.edu.cn/simple
 pip install paddle-serving-client -i https://pypi.tuna.tsinghua.edu.cn/simple
@@ -46,7 +46,7 @@ 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:latest /bin/bash
+docker run -dit -v $PWD/imdb_lstm_model:/model -p 9000:9000 --name lstm-server registry.baidubce.com/paddlepaddle/serving:latest /bin/bash
 docker exec -it lstm-server /bin/bash
 pip install paddle-serving-server -i https://pypi.tuna.tsinghua.edu.cn/simple
 pip install paddle-serving-client -i https://pypi.tuna.tsinghua.edu.cn/simple

doc/DOCKER_IMAGES.md

@@ -46,12 +46,12 @@ If you want to customize your Serving based on source code, use the version with
 
 **Java Client:**
 ```
-hub.baidubce.com/paddlepaddle/serving:latest-java
+registry.baidubce.com/paddlepaddle/serving:latest-java
 ```
 
 **XPU:**
 ```
-hub.baidubce.com/paddlepaddle/serving:xpu-beta
+registry.baidubce.com/paddlepaddle/serving:xpu-beta
 ```
 
 ## Requirements for running CUDA containers

doc/DOCKER_IMAGES_CN.md

@@ -49,12 +49,12 @@
 
 **Java镜像：**
 ```
-hub.baidubce.com/paddlepaddle/serving:latest-java
+registry.baidubce.com/paddlepaddle/serving:latest-java
 ```
 
 **XPU镜像：**
 ```
-hub.baidubce.com/paddlepaddle/serving:xpu-beta
+registry.baidubce.com/paddlepaddle/serving:xpu-beta
 ```
 
 

doc/RUN_IN_DOCKER.md

@@ -17,14 +17,14 @@ This document takes Python2 as an example to show how to run Paddle Serving in d
 Refer to [this document](DOCKER_IMAGES.md) for a docker image:
 
 ```shell
-docker pull hub.baidubce.com/paddlepaddle/serving:latest-devel
+docker pull registry.baidubce.com/paddlepaddle/serving:latest-devel
 ```
 
 
 ### Create container
 
 ```bash
-docker run -p 9292:9292 --name test -dit hub.baidubce.com/paddlepaddle/serving:latest-devel
+docker run -p 9292:9292 --name test -dit registry.baidubce.com/paddlepaddle/serving:latest-devel
 docker exec -it test bash
 ```
 
@@ -46,20 +46,20 @@ The GPU version is basically the same as the CPU version, with only some differe
 Refer to [this document](DOCKER_IMAGES.md) for a docker image, the following is an example of an `cuda9.0-cudnn7` image:
 
 ```shell
-docker pull hub.baidubce.com/paddlepaddle/serving:latest-cuda10.2-cudnn8-devel
+docker pull registry.baidubce.com/paddlepaddle/serving:latest-cuda10.2-cudnn8-devel
 ```
 
 ### Create container
 
 ```bash
-nvidia-docker run -p 9292:9292 --name test -dit hub.baidubce.com/paddlepaddle/serving:latest-cuda10.2-cudnn8-devel
+nvidia-docker run -p 9292:9292 --name test -dit registry.baidubce.com/paddlepaddle/serving:latest-cuda10.2-cudnn8-devel
 nvidia-docker exec -it test bash
 ```
 
 or
 
 ```bash
-docker run --gpus all -p 9292:9292 --name test -dit hub.baidubce.com/paddlepaddle/serving:latest-cuda10.2-cudnn8-devel
+docker run --gpus all -p 9292:9292 --name test -dit registry.baidubce.com/paddlepaddle/serving:latest-cuda10.2-cudnn8-devel
 docker exec -it test bash
 ```
 

doc/RUN_IN_DOCKER_CN.md

@@ -19,13 +19,13 @@ Docker（GPU版本需要在GPU机器上安装nvidia-docker）
 以CPU编译镜像为例
 
 ```shell
-docker pull hub.baidubce.com/paddlepaddle/serving:latest-devel
+docker pull registry.baidubce.com/paddlepaddle/serving:latest-devel
 ```
 
 ### 创建容器并进入
 
 ```bash
-docker run -p 9292:9292 --name test -dit hub.baidubce.com/paddlepaddle/serving:latest-devel
+docker run -p 9292:9292 --name test -dit registry.baidubce.com/paddlepaddle/serving:latest-devel
 docker exec -it test bash
 ```
 
@@ -40,18 +40,18 @@ docker exec -it test bash
 ## GPU 版本
 
 ```shell
-docker pull hub.baidubce.com/paddlepaddle/serving:latest-cuda10.2-cudnn8-devel
+docker pull registry.baidubce.com/paddlepaddle/serving:latest-cuda10.2-cudnn8-devel
 ```
 
 ### 创建容器并进入
 
 ```bash
-nvidia-docker run -p 9292:9292 --name test -dit hub.baidubce.com/paddlepaddle/serving:latest-cuda10.2-cudnn8-devel
+nvidia-docker run -p 9292:9292 --name test -dit registry.baidubce.com/paddlepaddle/serving:latest-cuda10.2-cudnn8-devel
 nvidia-docker exec -it test bash
 ```
 或者
 ```bash
-docker run --gpus all -p 9292:9292 --name test -dit hub.baidubce.com/paddlepaddle/serving:latest-cuda10.2-cudnn8-devel
+docker run --gpus all -p 9292:9292 --name test -dit registry.baidubce.com/paddlepaddle/serving:latest-cuda10.2-cudnn8-devel
 docker exec -it test bash
 ```
 

doc/WINDOWS_TUTORIAL.md

@@ -117,9 +117,9 @@ Please refer to [Docker Desktop](https://www.docker.com/products/docker-desktop)
 After installation, start the docker linux engine and download the relevant image. In the Serving directory
 
 ```
-docker pull hub.baidubce.com/paddlepaddle/serving:latest-devel
+docker pull registry.baidubce.com/paddlepaddle/serving:latest-devel
 # There is no expose port here, users can set -p to perform port mapping as needed
-docker run --rm -dit --name serving_devel -v $PWD:/Serving hub.baidubce.com/paddlepaddle/serving:latest-devel
+docker run --rm -dit --name serving_devel -v $PWD:/Serving registry.baidubce.com/paddlepaddle/serving:latest-devel
 docker exec -it serving_devel bash
 cd /Serving
 ```

doc/WINDOWS_TUTORIAL_CN.md

@@ -117,9 +117,9 @@ python your_client.py
 安装之后启动docker的linux engine，下载相关镜像。在Serving目录下
 
 ```
-docker pull hub.baidubce.com/paddlepaddle/serving:latest-devel
+docker pull registry.baidubce.com/paddlepaddle/serving:latest-devel
 # 此处没有expose端口，用户可根据需要设置-p来进行端口映射
-docker run --rm -dit --name serving_devel -v $PWD:/Serving hub.baidubce.com/paddlepaddle/serving:latest-devel 
+docker run --rm -dit --name serving_devel -v $PWD:/Serving registry.baidubce.com/paddlepaddle/serving:latest-devel 
 docker exec -it serving_devel bash
 cd /Serving
 ```