书栈网 · BookStack 本次搜索耗时 0.016 秒,为您找到 107 个相关结果.
  • Introduction

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

    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

    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

    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

    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)

    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

    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

    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

    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)

    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 ...