apps/FastDeploy
1
0
Fork 0
mirror of https://github.com/PaddlePaddle/FastDeploy.git synced 2025-10-05 16:48:03 +08:00
Code Issues Actions 2 Packages Projects Releases Wiki Activity
Files
3ff562aa7716c30ddcc8960d8d1040a7d5f69be2
FastDeploy/docs/api_docs/cpp/main_page.md
Jason 3ff562aa77 Bump up to version 0.3.0 (#371) 
* Update VERSION_NUMBER

* Update paddle_inference.cmake

* Delete docs directory

* release new docs

* update version number

* add vision result doc

* update version

* fix dead link

* fix vision

* fix dead link

* Update README_EN.md

* Update README_EN.md

* Update README_EN.md

* Update README_EN.md

* Update README_EN.md

* Update README_CN.md

* Update README_EN.md

* Update README_CN.md

* Update README_EN.md

* Update README_CN.md

* Update README_EN.md

* Update README_EN.md

Co-authored-by: leiqing <54695910+leiqing1@users.noreply.github.com>
2022-10-15 22:01:27 +08:00

1.1 KiB
Raw Blame History

FastDeploy C++ API Summary

Runtime

FastDeploy Runtime can be used as an inference engine with the same code, we can deploy Paddle/ONNX model on different device by different backends.
Currently, FastDeploy supported backends listed as below,

Backend Hardware Support Model Format Platform
Paddle Inference CPU/Nvidia GPU Paddle Windows(x64)/Linux(x64)
ONNX Runtime CPU/Nvidia GPU Paddle/ONNX Windows(x64)/Linux(x64/aarch64)/Mac(x86/arm64)
TensorRT Nvidia GPU Paddle/ONNX Windows(x64)/Linux(x64)/Jetson
OpenVINO CPU Paddle/ONNX Windows(x64)/Linux(x64)/Mac(x86)

Example code

Related APIs

Vision Models

Task Model API Example
object detection PaddleDetection/PPYOLOE fastdeploy::vision::detection::PPYOLOE C++/Python