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添加了标签和分类
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Sekka16 committed Apr 8, 2024
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5 changes: 4 additions & 1 deletion source/_posts/MLC/MLC-Lesson3-端到端模型执行.md
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title: MLC-Lesson3-端到端模型执行
date: 2024-04-04 10:26:03
tags:
tags:
- TVM
categories:
- [学习笔记, MLC]
description: 本章主要介绍了使用TVMScript编写IRModule,并且运行端到端模型的过程,包括对计算图概念的解释,目标传递原则简述,算子注册的过程以及构建模型时的参数绑定过程。
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3 changes: 3 additions & 0 deletions source/_posts/MLC/MLC-Lesson4-自动程序优化.md
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title: MLC-Lesson4-自动程序优化
date: 2024-04-04 10:57:39
tags:
- TVM
categories:
- [学习笔记, MLC]
description: 之前对IRMoudle的优化包括循环展开、向量化等都是手动完成,本章介绍MetaSchedule自动化完成程序优化的过程。
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title: MLC-Lesson5-与机器学习框架的整合
date: 2024-04-04 11:15:38
tags:
- TVM
categories:
- [学习笔记, MLC]
description: 本章介绍了使用te创建TensorIR函数,利用BlockBuilder构建IRModule,此后将PyTorch模型导入成为IRModule。
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3 changes: 3 additions & 0 deletions source/_posts/MLC/MLC-Lesson6-GPU硬件加速1.md
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title: MLC-Lesson6-GPU硬件加速1
date: 2024-04-04 11:34:29
tags:
- TVM
categories:
- [学习笔记, MLC]
description: 本章简单介绍了GPU的体系结构,并介绍了两个将TensorIR函数运行到GPU上的示例。
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3 changes: 3 additions & 0 deletions source/_posts/MLC/MLC-Lesson6-矩阵乘法样例分析.md
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title: MLC Lesson6 矩阵乘法样例分析
date: 2024-03-31 19:09:35
tags:
- TVM
categories:
- [学习笔记, MLC]
description: TVM矩阵乘法课程样例,与CPU不同,GPU上涉及线程块和线程,访存也有所优化,包括local memory、shared memory、global memory的数据传递等。本文为笔记中独立出来的样例部分,详细展示了样例的每一步变换。
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3 changes: 3 additions & 0 deletions source/_posts/MLC/MLC-Lesson7-GPU硬件加速2.md
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title: MLC-Lesson7-GPU硬件加速2
date: 2024-04-04 11:43:48
tags:
- TVM
categories:
- [学习笔记, MLC]
description: 本文介绍了张量化Block,专用加速器在张量区域上运行计算,张量化Block可以帮助我们将此类运算分组。
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title: MLC Lesson7 引入特殊内存层级示例
date: 2024-03-31 19:16:40
tags:
- TVM
categories:
- [学习笔记, MLC]
description: 所谓特殊内存层级,实际上就是类似于Cache的存在,具体看硬件实现。
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3 changes: 3 additions & 0 deletions source/_posts/MLC/MLC-Lesson8-计算图优化.md
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title: MLC Lesson8 计算图优化
date: 2024-03-31 19:02:58
tags:
- TVM
categories:
- [学习笔记, MLC]
description: 本章聚焦于高层计算图的优化,包括算子融合和映射到TensorIR函数
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5 changes: 5 additions & 0 deletions source/tags/index.md
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title: tags
date: 2024-04-08 21:35:05
type: tags
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