ISyNet: Convolutional Neural Networks design for AI accelerator

9 code implementations • 4 Sep 2021 • Alexey Letunovskiy, Vladimir Korviakov, Vladimir Polovnikov, Anastasiia Kargapoltseva, Ivan Mazurenko, Yepan Xiong

To address this problem we propose a measure of hardware efficiency of neural architecture search space - matrix efficiency measure (MEM); a search space comprising of hardware-efficient operations; a latency-aware scaling method; and ISyNet - a set of architectures designed to be fast on the specialized neural processing unit (NPU) hardware and accurate at the same time.

Image Classification Neural Architecture Search +2