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README
Apache-2.0

orange-pi-mindspore

本代码仓为基于昇思MindSpore+香橙派开发板案例仓,内包含带框架(Online,推荐)开发和离线(Offline)推理案例。

目录

昇思MindSpore香橙派能力介绍

  • 开发友好:动态图易用性提升,类huggingface风格降低开发调试门槛
  • 性能提升:mindspore.jit编译成图,一行代码实现推理性能提升一倍
  • 全流程支持:在香橙派上支持模型训推全流程

最新动态

《昇思+昇腾开发板:软硬结合玩转DeepSeek开发实战》课程已上线,以DeepSeek蒸馏模型为例,讲解如何基于昇思MindSpore,在香橙派开发板上完成该模型的开发、微调、推理、性能提升,以及分享一些在开发板上实践的经验供大家参考。

欢迎开发者访问学习交流,如对课程有任何建议,或希望新增哪些内容的讲解,欢迎在课程评论区留下你宝贵的评论,或在本代码仓中提交issue

代码仓分支和版本兼容

branch Online/Offline CANN toolkit/kernel MindSpore
r1.0 Online 8.0.0beta1 2.5.0
r1.0 Online 8.0.RC3.alpha002 2.4.10
r1.0 Offline 8.0.RC3.alpha002 2.2.14

案例与模型清单

基于MindSpore开发(Online)

模型 训练/推理 CANN版本 Mindspore版本 香橙派开发板型号
ResNet50 推理 8.1.RC1 2.6.0 8T8G
ViT 推理 8.0.RC3.alpha002 2.4.10 8T16G
FCN 推理 8.0.RC3.alpha002 2.4.10 8T16G
ShuffleNet 推理 8.0.RC3.alpha002 2.4.10 8T16G
SSD 推理 8.0.RC3.alpha002 2.4.10 8T16G
RNN 推理 8.0.RC3.alpha002 2.4.10 8T16G
LSTM+CRF 推理 8.0.RC3.alpha002 2.4.10 8T16G
GAN 推理 8.0.RC3.alpha002 2.4.10 8T16G
DCGAN 推理 8.0.RC3.alpha002 2.4.10 8T16G
Pix2Pix 推理 8.0.RC3.alpha002 2.4.10 8T16G
Diffusion 推理 8.0.RC3.alpha002 2.4.10 8T16G
ResNet50_transfer 推理 8.0.RC3.alpha002 2.4.10 8T16G
Qwen1.5-0.5b 推理 8.0.RC3.alpha002 2.4.10 8T16G
TinyLlama-1.1B 推理 8.0.RC3.alpha002 2.4.10 8T16G
DctNet 推理 8.0.RC3.alpha002 2.4.10 8T16G
DeepSeek-R1-Distill-Qwen-1.5B 推理 8.0.RC3.alpha002/8.0.0.beta1/8.1.RC1.beta1 2.4.10/2.5.0/2.6.0 20T24G
DeepSeek-R1-Distill-Qwen-1.5B 训练 8.0.0.beta1/8.1.RC1.beta1 2.5.0/2.6.0 20T24G
DeepSeek-Janus-Pro-1B 推理 8.0.RC3.alpha002/8.0.0beta1 2.4.10/2.5.0 20T24G
MiniCPM3-4B 推理 8.0.0beta1 2.5.0 20T24G

注:在线推理案例指导请参考Online/inference文件夹中的README文档

离线推理(Offline)

模型名 支持CANN版本 支持Mindspore版本 支持的香橙派开发板型号
CNNCTC 8.0.RC2.alpha003 2.2.14 8T16G
ResNet50 8.0.RC2.alpha003 2.2.14 8T16G
HDR 8.0.RC2.alpha003 2.2.14 8T16G
CycleGAN 8.0.RC2.alpha003 2.2.14 8T16G
Shufflenet 8.0.RC2.alpha003 2.2.14 8T16G
FCN 8.0.RC2.alpha003 2.2.14 8T16G
Pix2Pix 8.0.RC2.alpha003 2.2.14 8T16G

注:离线推理案例指导请参考Offline文件夹中的README文档

学习资源

阶段 描述 链接
镜像获取 香橙派官网-官方镜像 8T
20T
环境搭建 昇思官网香橙派开发教程 香橙派开发
精品课程 《昇思+昇腾开发板:
软硬结合玩转DeepSeek开发实战》课程
课程链接
案例分享 昇腾开发板专区-案例分享 昇腾开发板专区

贡献指南

欢迎各位开发者贡献基于昇思MindSpore+香橙派开发板的应用案例!开发者可通过向Online/community路径下提交pull request进行贡献,由工程师进行校验和合入。

案例贡献要求:

  1. 保证应用案例在指定MindSpore版本要求下的香橙派环境中跑通,且输出达到预期。
  2. 贡献需包含
    • 代码(必选):python文件或jupyter notebook文件均可,如仅单一文件建议携程jupyter notebook格式
    • README(必选):需包含对版本、案例、模型、算法、如何启动运行、预期输出结果
    • 数据集(可选):如涉及数据集,欢迎提供数据集获取方式,数据集可开源至魔乐社区大模型平台
  3. OnlineOnline/community路径下README文档中的模型案例清单和版本兼容-第三方应用案例中,新增案例信息
  4. 对代码、README的详细要求,请见Online路径下README文档中贡献指南

问题答疑

如在基于昇思MindSpore+香橙派开发板开发过程中遇到任何问题,欢迎在本代码仓中提交issue,定期会有工程师进行答疑。

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