ICS 35.240.50
CCS L 60
团体标准
T/CES 103—2022
电力人工智能边端侧模型技术规范
Technical specification for electric power artificial intelligence edge model
2022-06-22 发布 2022-06-24 实施
中国电工技术学会 发布
全国团体标准信息平台
T/CES 103—2022
I 目 次
前言 .................................................................................................................................................................... Ⅱ
1 范围 ............................................................................................................................... ................................. 1
2 规范性引用文件 ............................................................................................................................... ............. 1
3 术语和定义 ............................................................................................................................... ..................... 1
4 缩略语 ............................................................................................................................... ............................. 5
5 通用要求 ............................................................................................................................... ......................... 5
5.1 应用场景 ............................................................................................................................... .................. 6
5.2 硬件架构适配 ............................................................................................................................... .......... 6
5.3 模型超参转换 ............................................................................................................................... .......... 6
5.4 边端推理效率 ............................................................................................................................... .......... 6
6 通用算子要求 ............................................................................................................................... ................. 6
7 模型封装要求 ............................................................................................................................... ................. 6
7.1 模型初始化服务 ............................................................................................................................... ...... 7
7.2 数据管理服务 ............................................................................................................................... .......... 7
7.3 容器化模型打包 ............................................................................................................................... ...... 8
8 模型评价指标及方法 ............................................................................................................................... ..... 9
8.1 模型评价体系 ............................................................................................................................... .......... 9
8.2 安全性评价 ............................................................................................................................... .............. 9
8.3 鲁棒性评价 ............................................................................................................................... .............. 9
8.4 模型推理效率评价 ............................................................................................................................... .. 9
8.5 评价指标 ............................................................................................................................... ................ 11
8.6 评价方法 ............................................................................................................................... ................ 11
8.7 模型性能等级判定 ............................................................................................................................... 13
附录 A(资料性附录) 常见框架算子对照表 ............................................................................................ 17
附录 B(资料性附录) 模型评价指标计算 ..
T-CES 103—2022 电力人工智能边端侧模型技术规范
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