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arXiv · 2104.10853

InstantNet: Automated Generation and Deployment of Instantaneously Switchable-Precision Networks

Yonggan Fu·Zhongzhi Yu·Yongan Zhang·Yifan Jiang·Chaojian Li·Yongyuan Liang·Mingchao Jiang·Zhangyang Wang·Yingyan Celine Lin
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Abstract

The promise of Deep Neural Network (DNN) powered Internet of Thing (IoT) devices has motivated a tremendous demand for automated solutions to enable fast development and deployment of efficient (1) DNNs equipped with instantaneous accuracy-efficiency trade-off capability to accommodate the time-varying resources at IoT devices and (2) dataflows to optimize DNNs' execution efficiency on different devices. Therefore, we propose InstantNet to automatically generate and deploy instantaneously switchable-precision networks which operate at variable bit-widths. Extensive experiments show that the proposed InstantNet consistently outperforms state-of-the-art designs.

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Yonggan Fu, Zhongzhi Yu, Yongan Zhang, Yifan Jiang, Chaojian Li, Yongyuan Liang, Mingchao Jiang, Zhangyang Wang, Yingyan Celine Lin. 2021-04-22. InstantNet: Automated Generation and Deployment of Instantaneously Switchable-Precision Networks. https://arxiv.org/abs/2104.10853

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