Files
FastDeploy/serving
DefTruth 5b8a3b498d [Bug Fix] fixed fd server use_paddle parameter parse policy (#2044)
* [Server] Support GPU encrypt & auth for FD Triton Server

* fix dockerfile proxy env error

* update build scrpits

* remove some logs

* [Bug Fix] fixed fd server use_paddle parameter parse policy

* optimize paddle-trt policy

* optimize paddle-trt policy

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Co-authored-by: root <root@yq02-sys-rpm1206692e6.yq02.baidu.com>
Co-authored-by: qiuyanjun <qiuyanjun@baidu.com>
2023-06-21 15:44:32 +08:00
..
2022-10-11 14:17:27 +08:00
2023-02-27 21:36:12 +08:00
2023-02-27 21:34:54 +08:00

简体中文 | English

FastDeploy Serving Deployment

Introduction

FastDeploy builds an end-to-end serving deployment based on Triton Inference Server. The underlying backend uses the FastDeploy high-performance Runtime module and integrates the FastDeploy pre- and post-processing modules to achieve end-to-end serving deployment. It can achieve fast deployment with easy-to-use process and excellent performance.

FastDeploy also provides an easy-to-use Python service deployment method, refer PaddleSeg deployment example for its usage.

Prepare the environment

Environment requirements

  • Linux
  • If using a GPU image, NVIDIA Driver >= 470 is required (for older Tesla architecture GPUs, such as T4, the NVIDIA Driver can be 418.40+, 440.33+, 450.51+, 460.27+)

Obtain Image

CPU Image

CPU images only support Paddle/ONNX models for serving deployment on CPUs, and supported inference backends include OpenVINO, Paddle Inference, and ONNX Runtime

docker pull registry.baidubce.com/paddlepaddle/fastdeploy:1.0.4-cpu-only-21.10

GPU Image

GPU images support Paddle/ONNX models for serving deployment on GPU and CPU, and supported inference backends including OpenVINO, TensorRT, Paddle Inference, and ONNX Runtime

docker pull registry.baidubce.com/paddlepaddle/fastdeploy:1.0.4-gpu-cuda11.4-trt8.5-21.10

Users can also compile the image by themselves according to their own needs, referring to the following documents:

Other Tutorials

Serving Deployment Demo

Task Model
Classification PaddleClas
Detection PaddleDetection
Detection ultralytics/YOLOv5
NLP PaddleNLP/ERNIE-3.0
NLP PaddleNLP/UIE
Speech PaddleSpeech/PP-TTS
OCR PaddleOCR/PP-OCRv3