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Apache-2.0

DeepSpark开源社区

在万物皆算的时代,各领域应用层出不穷,算力必须支撑实际应用,通用性和未来可扩展性是评估算力的重要指标。天数智芯作为国内头部通用GPU高端芯片及超级算力系统提供商,截止2023年6月,已成功支持200+ AI算法模型,覆盖训练和推理,与400+家客户和生态伙伴建立合作,共同促进国内通用算力的发展,产品服务于智慧城市、数字个人、医疗、教育、通信、能源等多个领域。

天数智芯本着“平台共建、生态共享、产业共赢”的原则,致力于和行业伙伴一起打造DeepSpark开源社区,以来自开源回馈开源的方式,汇聚社区力量,助力客户加速应用落地和收获算力赋能,促进产业生态的完善和发展。

DeepSpark开源社区目前主要致力于百大应用开放平台的打造和推广。除此之外DeepSpark社区于2023年3月开源上线了适用于国产通用GPU天垓100的CUDA应用程序调试工具ixGDB。将来会有更多相关的项目和成果通过DeepSpark社区开源。

2023年8月,DeepSpark开源社区与上海白玉兰开源开放研究院签署了战略合作协议,旨在进一步促进人工智能开源事业共建共享,推动产业生态的完善和发展。2023年11月,DeepSpark社区与启智社区开展合作,社区用户可通过启智云脑提供的天垓100算力训练来自DeepSparkHub的模型。

欢迎行业合作伙伴、社区用户和开发者以任何形式为DeepSpark开源社区作贡献,期待您的积极参与。


百大应用开放平台

百大应用开放平台作为国内领先的AI和通用计算应用开发及评测平台,甄选上百个与行业应用深度耦合的开源算法和模型,支持主流生态应用框架,并针对行业需求构建多维度评测体系,广泛支持各类落地场景。

组成部分

应用算法和模型

百大应用开放平台甄选上百个应用算法和模型,覆盖AI和通用计算各领域,支持主流市场智能计算场景,包括智慧城市、数字个人、医疗、教育、通信、能源等多个领域。

应用框架

百大应用开放平台支持国内外主流应用框架和工具箱。

评测体系

评测标准广泛适用于硬件平台,体系完备,部署简单。

  • 提供 :six: 维度
维度 说明 数据来源 计算方法
速度
:rocket:
模型稳定训练时每秒处理的单位样本的算力 DeepSpark模型训练脚本输出 指定迭代轮次5次去掉最高最低,取中间3次的mean中值
准确性
:dart:
模型收敛的精度值 DeepSpark模型训练脚本输出 记录模型收敛时的精度值
线性度
:chart_with_upwards_trend:
模型集群规模化训练算力的线性扩展性能
包括卡线性度和节点线性度
DeepSpark模型训练脚本输出 用多卡/多节点的训练速度除以卡数/节点数,再对比使用单张/单节点的训练速度
功耗
:electric_plug:
模型稳定训练时候实际消耗的GPU平均功耗 GPU实时状态检测工具 取多次的功耗数据的平均值
显存占用
:bar_chart:
模型稳定训练时实际消耗的GPU平均显存占用量 GPU实时状态检测工具 取多次的显存占用量的平均值
稳定度
:wrench:
多次完整训练(均达到收敛值)的收敛值的稳定程度 DeepSpark模型训练脚本输出 采用5次达到标准收敛值的完整训练,取收敛值的中值做为基准值,其它值对比基准值的差值百分比有1次不在(-0.01,+0.01)范围内,稳定度则递减20%

参考信息:硬件评测结果

  • 支持 :one: 键式部署

    全自动 :white_check_mark: 、数据可复现 :repeat: 、场景可寻源 :mag_right:

  • :zero: 平台依赖

    不限制框架、不限制源语、不限制硬件


硬件评测方法和结果

天垓100通用GPU

评测方法详见 天垓100六维度评测方法

评测结果如下:

任务 模型 收敛指标 配置(x->gpus) 速度 准确度 功耗(W) 线性度 显存占用(G) 稳定度
自然语言处理 BERT-large 0.72 sdk2.2,bs:32,8x,amp 214 0.72 152*8 0.96 20.3*8 1
推荐系统 DLRM AUC:0.75 sdk2.2,bs:2048,8x,amp 793486 0.75 60*8 0.97 3.7*8 1
图像分类 ResNet50 top1 75.9% sdk2.2,bs:512,8x,amp 5221 76.43% 128*8 0.97 29.1*8 1
图像分割 3D U-Net 0.908 sdk2.2,bs:4,8x,fp32 12 0.908 152*8 0.85 19.6*8 1
目标检测 YOLOv5 mAP:0.5 sdk2.2,bs:128,8x,amp 1228 0.56 140*8 0.92 27.3*8 1
文本检测 SATRN 0.841 sdk2.2,bs:128,8x,fp32 630 88.4 166*8 0.98 28.5*8 1
语音识别 Conformer 3.72 sdk2.2,bs:32,8x,fp32 380 4.79 113*8 0.82 21.5*8 1
3D重建 ngp-nerf 0.0046 sdk2.2,bs:1,8x,amp 10 19.6 82*8 0.90 28.1*8 1
目标追踪 FairMOT MOTA:69.8 sdk2.2,bs:64,8x,fp32 52 69.8 132*8 0.97 19.1*8 1
大模型 CPM 0.91 sdk2.2,bs:128,8x,amp 357 0.91 156*8 0.93 20.6*8 1
语音语义 Tacotron2 score(MOS):4.460 sdk2.2,bs:128,8x,amp 77 4.46 128*8 0.96 18.4*8 1
新兴模型 Wave-MLP 80.1 sdk2.2,bs:256,8x,fp32 1026 83.1 198*8 0.98 29.4*8 1

各维度说明,请见评测体系


社区

治理

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交流

请联系 contact@deepspark.org.cn

贡献

请参见各项目的Contributing Guidelines。

许可证

Apache License 2.0

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DeepSpark开源社区致力于打造和推广国内领先的AI和通用计算应用开发及评测平台-百大应用开放平台,甄选上百个与行业应用深度耦合的开源算法和模型,支持主流生态应用框架,并针对行业需求构建多维度评测体系,广泛支持各类落地场景。 expand collapse
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