Skip to content

Sunasity/quan-bottleneck

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

9 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Pytorch implementation of Google Quantization

Experimental results:

MOdel Weight Bit Act Bit top-1
Res-50 8 8 75.46%

The pruning schemes follow these papers:

@article{jacob2017quantization,
  title={Quantization and training of neural networks for efficient integer-arithmetic-only inference},
  author={Jacob, Benoit and Kligys, Skirmantas and Chen, Bo and Zhu, Menglong and Tang, Matthew and Howard, Andrew and Adam, Hartwig and Kalenichenko, Dmitry},
  journal={arXiv preprint arXiv:1712.05877},
  year={2017}
}

About

pytorch implementation of Google quantization

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages