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License: GNU General Public License v3.0

Python 20.31% Jupyter Notebook 79.69%

one-shot-nas's Introduction

Complexity Aware Supernet Training for One-Shot NAS

Implementation of Complexity Aware Supernet Training for One-Shot NAS.

Pre-requisites

This repository has been tested with the following libraries:

  • Python (3.8.8)
  • Pytorch (1.8.1)

Preparation and Download

  1. Download NAS-Bench-201 API: NAS-Bench-201-v1_1-096897.pth (4.7G) and save it under ./Complexity_Aware_Supernet_Training/data/ folder.

  2. Install NasBench201 via pip.

pip install nas-bench-201

Please refer to AutoDL-Projects for more details.

Acknowledgements

Our codes are partly based on the following repositories.

one-shot-nas's People

Contributors

jeiminjeon avatar

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