Metadata-Version: 2.1
Name: ofa
Version: 0.0.2
Summary: Once for All: Train One Network and Specialize it for Efficient Deployment.
Home-page: https://github.com/mit-han-lab/once-for-all
Author: MIT-HAN-LAB
Author-email: hanlab.eecs+github@gmail.com
License: MIT
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Description-Content-Type: text/markdown
Requires-Dist: torch


# Once for All: Train One Network and Specialize it for Efficient Deployment [[arXiv]](https://arxiv.org/abs/1908.09791) [[Slides]](https://file.lzhu.me/projects/OnceForAll/OFA%20Slides.pdf) [[Video]](https://youtu.be/a_OeT8MXzWI)
```BibTex
@inproceedings{
  cai2020once,
  title={Once for All: Train One Network and Specialize it for Efficient Deployment},
  author={Han Cai and Chuang Gan and Tianzhe Wang and Zhekai Zhang and Song Han},
  booktitle={International Conference on Learning Representations},
  year={2020},
  url={https://arxiv.org/pdf/1908.09791.pdf}
}
```

## News
- Fisrt place in the 4th [Low-Power Computer Vision Challenge](https://lpcv.ai/competitions/2019), both classification and detection track.
- First place in the 3rd [Low-Power Computer Vision Challenge](https://lpcv.ai/competitions/2019), DSP track at ICCV’19 using the Once-for-all Network.

## Check our [GitHub](https://github.com/mit-han-lab/once-for-all) For more details and how to use


