未验证 提交 352ea63c 编写于 作者: Q Qi Li 提交者: GitHub

[DOC] Fix inference document link in readme (#45123)

* [DOC] fix inferene doc link in readme, test=document_fix

* update link, test=document_fix
上级 257438f3
...@@ -51,7 +51,7 @@ Now our developers can acquire Tesla V100 online computing resources for free. I ...@@ -51,7 +51,7 @@ Now our developers can acquire Tesla V100 online computing resources for free. I
- **High-Performance Inference Engines for Comprehensive Deployment Environments** - **High-Performance Inference Engines for Comprehensive Deployment Environments**
PaddlePaddle is not only compatible with models trained in 3rd party open-source frameworks , but also offers complete inference products for various production scenarios. Our inference product line includes [Paddle Inference](https://paddle-inference.readthedocs.io/en/latest/product_introduction/summary.html): Native inference library for high-performance server and cloud inference; [Paddle Serving](https://github.com/PaddlePaddle/Serving): A service-oriented framework suitable for distributed and pipeline productions; [Paddle Lite](https://github.com/PaddlePaddle/Paddle-Lite): Ultra-Lightweight inference engine for mobile and IoT environments; [Paddle.js](https://www.paddlepaddle.org.cn/paddle/paddlejs): A frontend inference engine for browser and mini-apps. Furthermore, by great amounts of optimization with leading hardware in each scenario, Paddle inference engines outperform most of the other mainstream frameworks. PaddlePaddle is not only compatible with models trained in 3rd party open-source frameworks , but also offers complete inference products for various production scenarios. Our inference product line includes [Paddle Inference](https://paddle-inference.readthedocs.io/en/master/guides/introduction/index_intro.html): Native inference library for high-performance server and cloud inference; [Paddle Serving](https://github.com/PaddlePaddle/Serving): A service-oriented framework suitable for distributed and pipeline productions; [Paddle Lite](https://github.com/PaddlePaddle/Paddle-Lite): Ultra-Lightweight inference engine for mobile and IoT environments; [Paddle.js](https://www.paddlepaddle.org.cn/paddle/paddlejs): A frontend inference engine for browser and mini-apps. Furthermore, by great amounts of optimization with leading hardware in each scenario, Paddle inference engines outperform most of the other mainstream frameworks.
- **Industry-Oriented Models and Libraries with Open Source Repositories** - **Industry-Oriented Models and Libraries with Open Source Repositories**
......
...@@ -49,7 +49,7 @@ PaddlePaddle用户可领取**免费Tesla V100在线算力资源**,训练模型 ...@@ -49,7 +49,7 @@ PaddlePaddle用户可领取**免费Tesla V100在线算力资源**,训练模型
- **支持多端多平台的高性能推理部署工具** - **支持多端多平台的高性能推理部署工具**
飞桨不仅广泛兼容第三方开源框架训练的模型部署,并且为不同的场景的生产环境提供了完备的推理引擎,包括适用于高性能服务器及云端推理的原生推理库 [Paddle Inference](https://paddle-inference.readthedocs.io/en/latest/product_introduction/summary.html),面向分布式、流水线生产环境下自动上云、A/B测试等高阶功能的服务化推理框架 [Paddle Serving](https://github.com/PaddlePaddle/Serving),针对于移动端、物联网场景的轻量化推理引擎 [Paddle Lite](https://github.com/PaddlePaddle/Paddle-Lite),以及在浏览器、小程序等环境下使用的前端推理引擎 [Paddle.js](https://www.paddlepaddle.org.cn/paddle/paddlejs)。同时,透过与不同场景下的主流硬件高度适配优化及异构计算的支持, 飞桨的推理性能也领先绝大部分的主流实现。 飞桨不仅广泛兼容第三方开源框架训练的模型部署,并且为不同的场景的生产环境提供了完备的推理引擎,包括适用于高性能服务器及云端推理的原生推理库 [Paddle Inference](https://www.paddlepaddle.org.cn/inference/product_introduction/inference_intro.html),面向分布式、流水线生产环境下自动上云、A/B测试等高阶功能的服务化推理框架 [Paddle Serving](https://github.com/PaddlePaddle/Serving),针对于移动端、物联网场景的轻量化推理引擎 [Paddle Lite](https://github.com/PaddlePaddle/Paddle-Lite),以及在浏览器、小程序等环境下使用的前端推理引擎 [Paddle.js](https://www.paddlepaddle.org.cn/paddle/paddlejs)。同时,透过与不同场景下的主流硬件高度适配优化及异构计算的支持, 飞桨的推理性能也领先绝大部分的主流实现。
- **面向产业应用,开源开放覆盖多领域的工业级模型库。** - **面向产业应用,开源开放覆盖多领域的工业级模型库。**
......
Markdown is supported
0% .
You are about to add 0 people to the discussion. Proceed with caution.
先完成此消息的编辑!
想要评论请 注册