commit | 32dc7f0593beefb772ebd3aea1cf608c9ff12d52 | [log] [tgz] |
---|---|---|
author | Tianqi Chen <tqchen@users.noreply.github.com> | Mon Jul 02 21:18:01 2018 -0700 |
committer | Tianqi Chen <tqchen@users.noreply.github.com> | Wed Jul 11 21:54:39 2018 -0700 |
tree | a57ffd6e4b6866f7ebc26664444f864ad9822609 | |
parent | 27c8b6f362a345fb5adafb335fd47d1b12ec4666 [diff] |
[NNVM] Make param file python version agnostic
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.