commit | 74f23fff285d4f57cad4afdb05e2bff08fd71f98 | [log] [tgz] |
---|---|---|
author | Luis Vega <vegaluisjose@users.noreply.github.com> | Mon Jun 07 13:31:14 2021 -0700 |
committer | GitHub <noreply@github.com> | Mon Jun 07 13:31:14 2021 -0700 |
tree | e73b47192130ba538c5c2c9dd86be2b7f01876f6 | |
parent | dfe9f572a43d41e0c1ecdf036cea97042a0febfe [diff] |
add scalastyle to test (#28)
VTA (versatile tensor accelerator) is an open-source deep learning accelerator complemented with an end-to-end TVM-based compiler stack.
The key features of VTA include: