commit | ea9e519d020ea302e87de340c2731d37bf618645 | [log] [tgz] |
---|---|---|
author | Tianqi Chen <tqchen@users.noreply.github.com> | Thu Jul 05 09:12:46 2018 -0700 |
committer | Tianqi Chen <tqchen@users.noreply.github.com> | Wed Jul 11 21:54:39 2018 -0700 |
tree | c03c92897ce7ed3b67f93dc4774addac82275cbb | |
parent | 9c9a165f10c88a76c9e43715499a4ac3a4e583a2 [diff] |
[TOPI] Fix the CPU op perf (#56)
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.