commit | 5b5375729dab081bff1f4afb929a3d94784200b5 | [log] [tgz] |
---|---|---|
author | Luis Vega <vegaluisjose@users.noreply.github.com> | Tue Aug 31 11:27:24 2021 -0700 |
committer | GitHub <noreply@github.com> | Tue Aug 31 11:27:24 2021 -0700 |
tree | ddfe8efaacbcf7eed41d37093bdeeb08d4007878 | |
parent | 981bf2f32729b37b2ad302052d6c74c3734a17c9 [diff] |
update ci files (#36)
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: