Skip to content

Demitasse: SPMD Programing Implementation of Deep Neural Network Library for Mobile Devices(NeurIPS2016WS)

License

Notifications You must be signed in to change notification settings

DensoITLab/Demitasse

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

40 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Demitasse

Demitasse is the fast Deep Neural Network Library for mobile devices(non GPGPU). You can check the detail of Demitasse from this white paper.

How to build

Build script

How to convert parameters from caffe

It is very boring to make DNN's model data yourself. Demitasse supports to import pre-trained model data from Caffe Model Zoo. At this moment, we tested VGG-16 and VGG-CNN-F pre-trained model data for Demitasse. Demitasse import tool places at ./tools/. You have to build Demitasse binaries in order to convert pre-trained datas from the other libraries' models into Demitasse's one. How to use the tools is here.

Reference

Please cite Caffe in your publications if it helps your research:

@inproceedings{kondo2016,
author = {Satoshi Kondo},
booktitle = {ML Systems Workshop NIPS 2016},
title = {{Demitasse: SPMD Programing Implementation of Deep Neural Network Library for Mobile Devices}},
year = {2016}
}

License