Introduction What is Volcano Why Volcano Features Rich scheduling policies Enhanced job management Multi-architecture computing Faster scheduling Ecosystem Introduction...

Sedna What is Sedna? Features Architecture Sedna’s edge-cloud synergy is implemented based on the following capabilities provided by KubeEdge: Component GlobalManager LocalCon...

Sedna What is Sedna? Features Architecture Sedna’s edge-cloud synergy is implemented based on the following capabilities provided by KubeEdge: Component GlobalManager LocalCon...

Roadmap 2021 H1 Core framework Edge side list-watch Custom message transmission between cloud and edge Support multi-instance cloudcore Integration and verification of third-par...

Sedna What is Sedna? Features Architecture Sedna’s edge-cloud synergy is implemented based on the following capabilities provided by KubeEdge: Component GlobalManager LocalCon...

性能调试（Ascend） 概述 操作流程 环境准备 准备训练脚本 启动MindInsight 性能分析 迭代轨迹分析 算子性能分析 MindData性能分析 Timeline分析 规格 性能调试（Ascend） Linux Ascend 模型调优 中级 高级 概述 将训练过程中的算子耗时等信息记录到文件中，通过...

Sedna What is Sedna? Features Architecture Sedna’s edge-cloud synergy is implemented based on the following capabilities provided by KubeEdge: Component GlobalManager LocalCon...

Sedna What is Sedna? Features Architecture Sedna’s edge-cloud synergy is implemented based on the following capabilities provided by KubeEdge: Component GlobalManager LocalCon...

Sedna What is Sedna? Features Architecture Sedna’s edge-cloud synergy is implemented based on the following capabilities provided by KubeEdge: Component GlobalManager LocalCon...

使用MobileNetV2网络实现微调（Fine Tune） 概述 任务描述及准备 环境配置 下载代码 准备预训练模型 准备数据 预训练模型加载代码详解 参数简介 运行Python文件 运行Shell脚本 加载微调训练 CPU加载训练 GPU加载训练 Ascend加载训练 微调训练结果 验证微调训练模型 验证模型 验证结果 ...