commit | 1954ff58264384de8241cc155ffe33829f0e616a | [log] [tgz] |
---|---|---|
author | Luis Vega <vegaluisjose@users.noreply.github.com> | Tue Jun 08 17:07:35 2021 -0700 |
committer | GitHub <noreply@github.com> | Tue Jun 08 17:07:35 2021 -0700 |
tree | 44eb07b749b53fbe7e0a0f70342b31d6bf1c0fd6 | |
parent | d5e8117ce1535c527c536e115b4e58d53817b82f [diff] |
add unittest (#29)
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: