commit | 6e9e970320c94348d2ac0a314deb3dd3c1c2a3a9 | [log] [tgz] |
---|---|---|
author | Luis Vega <vegaluisjose@users.noreply.github.com> | Tue Sep 03 22:19:01 2019 -0700 |
committer | Thierry Moreau <moreau@uw.edu> | Tue Sep 03 22:19:01 2019 -0700 |
tree | 9f2a613444cd619b4bba7487ad7b697b590c6af1 | |
parent | 43a353ca56bc33bf4b404adafc52b4bc0973869b [diff] |
[VTA][Chisel] add scalafmt and format existing scala codebase (#3880) * [VTA][Chisel] add scalafmt and format existing scala codebase * change column width to 100 * add scalafmt conf file as a valid file type * add asf header to scalafmt conf file and rerun formatter
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:
Learn more about VTA here.