commit | 9b178fdb387bffc708f2448a82e85b4737239aed | [log] [tgz] |
---|---|---|
author | Luis Vega <vegaluisjose@users.noreply.github.com> | Wed Sep 02 11:13:11 2020 -0700 |
committer | GitHub <noreply@github.com> | Wed Sep 02 11:13:11 2020 -0700 |
tree | ab6fd6f235a4d5237b29b449c396beeb9d619ddd | |
parent | f1c3385e2042e876c719d1b30dd90ed533c51ed7 [diff] |
fixes for vivado 2020.1 (#10)
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: