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DefTruth 12bb44e0de [Bug Fix] fix build xpu encrypt & auth image scripts (#2133) 
* [patchelf] fix patchelf error for inference xpu

* [serving] add xpu dockerfile and support fd server

* [serving] add xpu dockerfile and support fd server

* [Serving] support XPU + Tritron

* [Serving] support XPU + Tritron

* [Dockerfile] update xpu tritron docker file -> paddle 0.0.0

* [Dockerfile] update xpu tritron docker file -> paddle 0.0.0

* [Dockerfile] update xpu tritron docker file -> paddle 0.0.0

* [Dockerfile] add comments for xpu tritron dockerfile

* [Doruntime] fix xpu infer error

* [Doruntime] fix xpu infer error

* [XPU] update xpu dockerfile

* add xpu triton server docs

* add xpu triton server docs

* add xpu triton server docs

* add xpu triton server docs

* update xpu triton server docs

* update xpu triton server docs

* update xpu triton server docs

* update xpu triton server docs

* update xpu triton server docs

* update xpu triton server docs

* update xpu triton server docs

* update xpu triton server docs

* [XPU] Update XPU L3 Cache setting docs

* [XPU] Add Encryption and AUTH support for XPU Server

* [XPU] Add Encryption and AUTH support for XPU Server

* [Bug Fix] fix paddle reader error

* [Serving] Support XPU encrypt & auth server

* [Serving] Support XPU encrypt & auth server

* [Serving] Support XPU encrypt & auth server

* [Serving] Support XPU encrypt & auth server

* [Triton] switch TAG 22.12 -> TAG 21.10wq

* update xpu auth server script

* [Bug Fix] fix build xpu encrypt & auth image scripts
2023-07-24 21:00:05 +08:00
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【Hackthon_4th 180】Support HORIZON BPU Backend for FastDeploy (#1822)
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[Bug Fix] fix build xpu encrypt & auth image scripts (#2133)
2023-07-24 21:00:05 +08:00
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README.md
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README.md

PaddleClas高性能全场景模型部署方案—FastDeploy

目录

1. FastDeploy介绍

⚡️FastDeploy是一款全场景、易用灵活、极致高效的AI推理部署工具，支持云边端部署。使用FastDeploy可以简单高效的在X86 CPU、NVIDIA GPU、飞腾CPU、ARM CPU、Intel GPU、Graphcore IPU、昆仑、昇腾、瑞芯微、晶晨、算能等10+款硬件上对PaddleClas模型进行快速部署，并且支持Paddle Inference、Paddle Lite、TensorRT、OpenVINO、ONNXRuntime、RKNPU2、SOPHGO等多种推理后端。

2. 图像分类模型部署

2.1 硬件支持列表

硬件类型 该硬件是否支持 使用指南 Python C++
X86 CPU ✅ 链接 ✅ ✅
NVIDIA GPU ✅ 链接 ✅ ✅
飞腾CPU ✅ 链接 ✅ ✅
ARM CPU ✅ 链接 ✅ ✅
Intel GPU(集成显卡) ✅ 链接 ✅ ✅
Intel GPU(独立显卡) ✅ 链接 ✅ ✅
Graphcore IPU ✅ 链接 ✅ ✅
昆仑 ✅ 链接 ✅ ✅
昇腾 ✅ 链接 ✅ ✅
瑞芯微 ✅ 链接 ✅ ✅
晶晨 ✅ 链接 -- ✅
算能 ✅ 链接 ✅ ✅

2.2. 详细使用文档

2.3 更多部署方式

4. 常见问题

遇到问题可查看常见问题集合，搜索FastDeploy issue，或给FastDeploy提交issue:

常见问题集合
FastDeploy issues