Skip to content

This repository is the pytorch implementation of the paper "Instance-Aware Dynamic Neural Network Quantization" which is published in CVPR 2022

License

Notifications You must be signed in to change notification settings

mehmetemreakbulut/instance-aware-dynamic-quantization

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

6 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation


Instance-Aware Dynamic Neural Network Quantization
Instance-Aware Dynamic Neural Network Quantization, CVPR 2022. Credits for Huawei Noah's Lab

Pytorch implementation of instance aware dynamic neural network quantization.

Key Features

How To Use

Usage

To train the model:

python3 eval.py --num-classes 200 --tar_bit 4 --train_dataset_path ./train

To evaluate the model:

python3 eval.py --val_dataset_path ./organized_val_data --num-classes 200 --tar_bit 4

Download

The dataset used is TinyImageNet

Emailware

Credits

Huawei Noah's Lab

Related

Support

Or

You may also like...

License

Apache 2.0


About

This repository is the pytorch implementation of the paper "Instance-Aware Dynamic Neural Network Quantization" which is published in CVPR 2022

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages