未验证 提交 a6df072d 编写于 作者: J Jiawei Wang 提交者: GitHub

Merge pull request #1536 from bjjwwang/postdev_07

update install_cn/en.md and latest_packages.md
......@@ -77,6 +77,8 @@ paddle-serving-server和paddle-serving-server-gpu安装包支持Centos 6/7, Ubun
paddle-serving-client和paddle-serving-app安装包支持Linux和Windows,其中paddle-serving-client仅支持python3.6/3.7/3.8。
**如果您之前使用paddle serving 0.5.X 0.6.X的Cuda10.2环境,需要注意在0.7.0版本,paddle-serving-server-gpu==0.7.0.post102的使用Cudnn7和TensorRT6,而0.6.0.post102使用cudnn8和TensorRT7。如果0.6.0的cuda10.2用户需要升级安装,请使用paddle-serving-server-gpu==0.7.0.post1028**
## 3.安装Paddle相关Python库
**当您使用`paddle_serving_client.convert`命令或者`Python Pipeline框架`时才需要安装。**
```
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......@@ -78,6 +78,8 @@ The paddle-serving-server and paddle-serving-server-gpu installation packages su
The paddle-serving-client and paddle-serving-app installation packages support Linux and Windows, and paddle-serving-client only supports python3.6/3.7/3.8.
**If you used the Cuda10.2 environment of paddle serving 0.5.X 0.6.X before, you need to pay attention to version 0.7.0, paddle-serving-server-gpu==0.7.0.post102 uses Cudnn7 and TensorRT6, and 0.6.0.post102 uses cudnn8 and TensorRT7. If 0.6.0 cuda10.2 users need to upgrade, please use paddle-serving-server-gpu==0.7.0.post1028**
## 3. Install Paddle related Python libraries
**You only need to install it when you use the `paddle_serving_client.convert` command or the `Python Pipeline framework`. **
```
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......@@ -2,6 +2,8 @@
## Paddle-Serving-Server (x86 CPU/GPU)
Check the following table, and copy the address of hyperlink then run `pip3 install`. For example, if you want to install `paddle-serving-server-0.0.0-py3-non-any.whl`, right click the hyper link and copy the link address, the final command is `pip3 install https://paddle-serving.bj.bcebos.com/test-dev/whl/paddle_serving_server-0.0.0-py3-none-any.whl`.
| | develop whl | develop bin | stable whl | stable bin |
|---------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------|
| cpu-avx-mkl | [paddle_serving_server-0.0.0-py3-none-any.whl ](https://paddle-serving.bj.bcebos.com/test-dev/whl/paddle_serving_server-0.0.0-py3-none-any.whl) | [serving-cpu-avx-mkl-0.0.0.tar.gz](https://paddle-serving.bj.bcebos.com/test-dev/bin/serving-cpu-avx-mkl-0.0.0.tar.gz) | [paddle_serving_server-0.7.0-py3-none-any.whl ](https://paddle-serving.bj.bcebos.com/test-dev/whl/paddle_serving_server-0.7.0-py3-none-any.whl) | [serving-cpu-avx-mkl-0.7.0.tar.gz](https://paddle-serving.bj.bcebos.com/test-dev/bin/serving-cpu-avx-mkl-0.7.0.tar.gz) |
......@@ -44,9 +46,15 @@ for kunlun user who uses arm-xpu or x86-xpu can download the wheel packages as f
for arm kunlun user
```
https://paddle-serving.bj.bcebos.com/whl/xpu/0.7.0/paddle_serving_server_xpu-0.7.0.post2-cp36-cp36m-linux_aarch64.whl
https://paddle-serving.bj.bcebos.com/whl/xpu/0.7.0/paddle_serving_client-0.7.0-cp36-cp36m-linux_aarch64.whl
https://paddle-serving.bj.bcebos.com/whl/xpu/0.7.0/paddle_serving_app-0.7.0-cp36-cp36m-linux_aarch64.whl
# paddle-serving-server
https://paddle-serving.bj.bcebos.com/whl/xpu/arm/paddle_serving_server_xpu-0.0.0.post2-py3-none-any.whl
# paddle-serving-client
https://paddle-serving.bj.bcebos.com/whl/xpu/arm/paddle_serving_client-0.0.0-cp36-none-any.whl
# paddle-serving-app
https://paddle-serving.bj.bcebos.com/whl/xpu/arm/paddle_serving_app-0.0.0-py3-none-any.whl
# SERVING BIN
https://paddle-serving.bj.bcebos.com/bin/serving-xpu-aarch64-0.0.0.tar.gz
```
for x86 kunlun user
......
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