# Wheel包下载 (简体中文|[English](./Latest_Packages_EN.md)) ## Paddle-Serving-Server (x86 CPU/GPU) 查找下面表格，拷贝链接地址，并运行 `pip3 install`。例如要安装 `paddle-serving-server-0.0.0-py3-non-any.whl`, 请右键点击链接拷贝链接地址，最终命令是`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-0.8.3-py3-none-any.whl ](https://paddle-serving.bj.bcebos.com/test-dev/whl/paddle_serving_server-0.8.3-py3-none-any.whl) | [serving-cpu-avx-mkl-0.8.3.tar.gz](https://paddle-serving.bj.bcebos.com/test-dev/bin/serving-cpu-avx-mkl-0.8.3.tar.gz) | | cpu-avx-openblas | [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-openblas-0.0.0.tar.gz](https://paddle-serving.bj.bcebos.com/test-dev/bin/serving-cpu-avx-openblas-0.0.0.tar.gz) | [paddle_serving_server-0.8.3-py3-none-any.whl ](https://paddle-serving.bj.bcebos.com/test-dev/whl/paddle_serving_server-0.8.3-py3-none-any.whl) | [serving-cpu-avx-openblas-0.8.3.tar.gz](https://paddle-serving.bj.bcebos.com/test-dev/bin/serving-cpu-avx-openblas-0.8.3.tar.gz) | | cpu-noavx-openblas | [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-noavx-openblas-0.0.0.tar.gz ]( https://paddle-serving.bj.bcebos.com/test-dev/bin/serving-cpu-noavx-openblas-0.0.0.tar.gz) | [paddle_serving_server-0.8.3-py3-none-any.whl ](https://paddle-serving.bj.bcebos.com/test-dev/whl/paddle_serving_server-0.8.3-py3-none-any.whl) | [serving-cpu-noavx-openblas-0.8.3.tar.gz]( https://paddle-serving.bj.bcebos.com/test-dev/bin/serving-cpu-noavx-openblas-0.8.3.tar.gz) | | cuda10.1-cudnn7-TensorRT6 | [paddle_serving_server_gpu-0.0.0.post101-py3-none-any.whl ](https://paddle-serving.bj.bcebos.com/test-dev/whl/paddle_serving_server_gpu-0.0.0.post101-py3-none-any.whl) | [serving-gpu-101-0.0.0.tar.gz](https://paddle-serving.bj.bcebos.com/test-dev/bin/serving-gpu-101-0.0.0.tar.gz) | [paddle_serving_server_gpu-0.8.3.post101-py3-none-any.whl ](https://paddle-serving.bj.bcebos.com/test-dev/whl/paddle_serving_server_gpu-0.8.3.post101-py3-none-any.whl) | [serving-gpu-101-0.8.3.tar.gz](https://paddle-serving.bj.bcebos.com/test-dev/bin/serving-gpu-101-0.8.3.tar.gz) | | cuda10.2-cudnn7-TensorRT6 | [paddle_serving_server_gpu-0.0.0.post102-py3-none-any.whl ](https://paddle-serving.bj.bcebos.com/test-dev/whl/paddle_serving_server_gpu-0.0.0.post102-py3-none-any.whl) | [serving-gpu-102-0.0.0.tar.gz](https://paddle-serving.bj.bcebos.com/test-dev/bin/serving-gpu-102-0.0.0.tar.gz) | [paddle_serving_server_gpu-0.8.3.post102-py3-none-any.whl ](https://paddle-serving.bj.bcebos.com/test-dev/whl/paddle_serving_server_gpu-0.8.3.post102-py3-none-any.whl) | [serving-gpu-102-0.8.3.tar.gz](https://paddle-serving.bj.bcebos.com/test-dev/bin/serving-gpu-102-0.8.3.tar.gz) | | cuda10.2-cudnn8-TensorRT7 | [paddle_serving_server_gpu-0.0.0.post1028-py3-none-any.whl ](https://paddle-serving.bj.bcebos.com/test-dev/whl/paddle_serving_server_gpu-0.0.0.post102-py3-none-any.whl) | [ serving-gpu-1028-0.0.0.tar.gz]( https://paddle-serving.bj.bcebos.com/test-dev/bin/serving-gpu-1028-0.0.0.tar.gz ) | [paddle_serving_server_gpu-0.8.3.post1028-py3-none-any.whl ](https://paddle-serving.bj.bcebos.com/test-dev/whl/paddle_serving_server_gpu-0.8.3.post102-py3-none-any.whl) | [serving-gpu-1028-0.8.3.tar.gz]( https://paddle-serving.bj.bcebos.com/test-dev/bin/serving-gpu-1028-0.8.3.tar.gz ) | | cuda11.2-cudnn8-TensorRT8 | [paddle_serving_server_gpu-0.0.0.post112-py3-none-any.whl ](https://paddle-serving.bj.bcebos.com/test-dev/whl/paddle_serving_server_gpu-0.0.0.post112-py3-none-any.whl) | [ serving-gpu-112-0.0.0.tar.gz]( https://paddle-serving.bj.bcebos.com/test-dev/bin/serving-gpu-112-0.0.0.tar.gz ) | [paddle_serving_server_gpu-0.8.3.post112-py3-none-any.whl ](https://paddle-serving.bj.bcebos.com/test-dev/whl/paddle_serving_server_gpu-0.8.3.post112-py3-none-any.whl) | [serving-gpu-112-0.8.3.tar.gz]( https://paddle-serving.bj.bcebos.com/test-dev/bin/serving-gpu-112-0.8.3.tar.gz ) | ### 二进制包（Binary Package） 大多数用户不会用到此章节。但是如果你在无网络的环境下部署Paddle Serving，在首次启动Serving时，无法下载二进制tar文件。因此，提供多种环境二进制包的下载链接，下载后传到无网络环境的指定目录下，即可使用。 ### 如何离线设置SERVING_BIN? - 下载Serving Server Wheel包和二进制tar包，确保它们与环境是一致的 - 下载Serving Client Wheel包和Serving App wheel包, 同时注意Python版本要一致. - `pip install ` 所有Wheel包 and `tar xf ` 二进制tar包, 然后`export SERVING_BIN=$PWD/serving-gpu-cuda11-0.0.0/serving` (以Cuda 11为例) ## paddle-serving-client Wheel包 | | develop whl | stable whl | |-----------------------|--------------------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------| | Python3.6 | [paddle_serving_client-0.0.0-cp36-none-any.whl](https://paddle-serving.bj.bcebos.com/test-dev/whl/paddle_serving_client-0.0.0-cp36-none-any.whl) | [paddle_serving_client-0.8.3-cp36-none-any.whl](https://paddle-serving.bj.bcebos.com/test-dev/whl/paddle_serving_client-0.8.3-cp36-none-any.whl) | | Python3.7 | [paddle_serving_client-0.0.0-cp37-none-any.whl](https://paddle-serving.bj.bcebos.com/test-dev/whl/paddle_serving_client-0.0.0-cp37-none-any.whl) | [paddle_serving_client-0.8.3-cp37-none-any.whl](https://paddle-serving.bj.bcebos.com/test-dev/whl/paddle_serving_client-0.8.3-cp37-none-any.whl) | | Python3.8 | [paddle_serving_client-0.0.0-cp38-none-any.whl](https://paddle-serving.bj.bcebos.com/test-dev/whl/paddle_serving_client-0.0.0-cp38-none-any.whl) | [paddle_serving_client-0.8.3-cp38-none-any.whl](https://paddle-serving.bj.bcebos.com/test-dev/whl/paddle_serving_client-0.8.3-cp38-none-any.whl) | | Python3.9 | [paddle_serving_client-0.0.0-cp39-none-any.whl](https://paddle-serving.bj.bcebos.com/test-dev/whl/paddle_serving_client-0.0.0-cp39-none-any.whl) | [paddle_serving_client-0.8.3-cp39-none-any.whl](https://paddle-serving.bj.bcebos.com/test-dev/whl/paddle_serving_client-0.8.3-cp38-none-any.whl) | ## paddle-serving-app Wheel包 | | develop whl | stable whl | |---------|------------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------| | Python3 | [paddle_serving_app-0.0.0-py3-none-any.whl](https://paddle-serving.bj.bcebos.com/test-dev/whl/paddle_serving_app-0.0.0-py3-none-any.whl) | [ paddle_serving_app-0.8.3-py3-none-any.whl ]( https://paddle-serving.bj.bcebos.com/test-dev/whl/paddle_serving_app-0.8.3-py3-none-any.whl) | ## 百度昆仑芯片 对于使用百度昆仑芯片的用户， 通过以下方式下载arm-xpu 或 x86-xpu Wheel包。选择 xpu-beta docker [DOCKER镜像](./Docker_Images_CN.md) **昆仑环境仅支持python36** ### Wheel包链接 适用ARM CPU环境的昆仑Wheel包： ``` # 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 ``` 适用于x86 CPU环境的昆仑Wheel包： ``` https://paddle-serving.bj.bcebos.com/test-dev/whl/paddle_serving_server_xpu-0.8.3.post2-py3-none-any.whl ```