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https://github.com/enyac-group/single-path-nas

Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours
https://github.com/enyac-group/single-path-nas

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Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours

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# Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours

## Requirements
* Access to Cloud TPUs ([Official Cloud TPU Tutorial](https://cloud.google.com/tpu/docs/tutorials/mnasnet))
* Tensorflow 1.12
* Python 3.5+

## Updates
* 04/05/19: Single-Path NAS search code released.

## Contents

* NAS Search [nas-search](/nas-search/): Employ NAS search
* Runtime Modeling [runtime-modeling](/runtime-modeling/): Generate ConvNets to profile
* Train ConvNet [train-final](/train-final/): Fully train found ConvNet on ImageNet

## Citation
Please cite the Single-Path paper ([link](https://arxiv.org/abs/1904.02877))
in your publications if this repo helps your research:

@inproceedings{stamoulis2019singlepath,
author = {Stamoulis, Dimitrios and Ding, Ruizhou and Wang, Di and Lymberopoulos, Dimitrios and Priyantha, Bodhi and Liu, Jie and Marculescu, Diana}
booktitle = {arXiv preprint arXiv:1904.02877},
title = {Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours},
year = {2019}
}