commit | 8641bf5f138c60c50a143f9c6569f0af80628d4b | [log] [tgz] |
---|---|---|
author | Thierry Moreau <moreau@cs.washington.edu> | Wed Jun 20 14:16:21 2018 -0700 |
committer | Tianqi Chen <tqchen@users.noreply.github.com> | Wed Jul 11 21:54:39 2018 -0700 |
tree | b5929c023ca430cf5ec8786d6934c5412ce7be93 | |
parent | 270e9be9dec32a29d1313b566862b14b97d81c2d [diff] |
[DOC] VTA installation & basic tutorials (#47)
VTA(versatile tensor accelerator) is an open-source deep learning accelerator stack. It is not just an open-source hardware, but is an end to end solution that includes the entire software stack on top of VTA open-source hardware.
The key features include:
VTA is part of our effort on TVM Stack.
To get started with VTA, please follow the Installation Guide
To offload ResNet-18 inference, follow the ResNet-18 Guide
© Contributors, 2018. Licensed under an Apache-2.0 license.