
Ansor: Generating High-Performance Tensor Programs for Deep …
2020年6月11日 · We present Ansor, a tensor program generation framework for deep learning applications. Compared with existing search strategies, Ansor explores many more optimization combinations by sampling programs from a hierarchical representation of the search space.
Ansor | Proceedings of the 14th USENIX Conference on Operating …
We present Ansor, a tensor program generation framework for deep learning applications. Compared with existing search strategies, Ansor explores many more optimization combinations by sampling programs from a hierarchical representation of the search space.
We present Ansor, a tensor program generation framework for deep learning applications. Compared with existing search strategies, Ansor explores many more optimization combina-tions by sampling programs from a hierarchical representation of the search space. Ansor then fine-tunes the sampled pro-grams with evolutionary search and a learned cost ...
论文精读:Ansor: Generating High-Performance Tensor ... - CSDN …
Ansor的任务调度器以迭代的方式为任务分配时间资源,在每次迭代中,Ansor选择一个任务,为子图生成一批有前景的程序,并在硬件上测量该程序,我们将这样的迭代定义为一个时间资源单位。当我们将一个单位的时间资源分配给一个任务时,该任务就获得了生成 ...
深度学习编译系列之 ANSOR 技术分享 - 知乎 - 知乎专栏
大家好,本次分享的主题是业界知名的 AI 编译框架 TVM 的一个子模块 —— ANSOR。 ANSOR 可以对 AI 模型做自动优化,解决代码生成中的自动调度问题。 近几年,AI 算法和硬件领域都了获得巨大的发展,导致了深度学习网络中的新算子和用于运行深度学习网络的新硬件层出不穷。 传统的深度学习框架如果需要支持一个新算子,首先需要将算子对接到硬件厂商提供的计算库,如果计算库不支持这个算子,则需要通过手写算子来实现算子支持,而对于不同的硬件设备,往往需要 …
Ansor: Generating high-performance tensor programs for …
We present Ansor, a tensor program generation framework for deep learning applications. Compared with existing search strategies, Ansor explores many more optimization combinations by sampling programs from a hierarchical representation of the search space.
Ansor算法原理与源码实践<源码实践篇> - 知乎 - 知乎专栏
Ansor算法框架由三个核心模块组成: Task Scheduler任务调度器 、 Program Sampler程序采样器 、 Performance Tuner 性能调优器。 本文将以TVM中auto_scheduler作为实践,在此之前需先了解一些TVM中auto_scheduler一些关键的数据结构,以便于阅读算法源码. tvm中auto_scheduler的模块的主要组成部分: 2.1 核心数据结构和类: class StateNode : public Object { public: /*! \brief Current stages and loop structures.
TVM中的auto-scheduling机制(Ansor)学习笔记 - CSDN博客
2021年11月21日 · 因此,TVM中引入了 auto -tuning 2.0,即Ansor(AutoScheduler, AutoTVM 2.0)。 它对应的论文是 《Ansor : Generating High-Performance Tensor Programs for Deep Learning》。 与上一代AutoTVM相比,Ansor的主要优点之一是无需写schedule template,从而使整个schedule的生成可以更加地自动化。 官网博客 《Introducing TVM Auto-scheduler (a.k.a. Ansor)》 的Table 1很好地展示了它的特点以及与前一代的区别。 整个搜索过程可参见官方博 …
Ansor : Generating High-Performance Tensor Programs for Deep …
We present Ansor, a tensor program generation framework for deep learning applications. Compared with existing search strategies, Ansor explores many more optimization combinations by sampling programs from a hierarchical representation of the search space.
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