commit | 91026e78d0d468be7765621c490b2995bd432b7d | [log] [tgz] |
---|---|---|
author | Luis Vega <vegaluisjose@users.noreply.github.com> | Thu Jun 13 15:08:40 2019 -0700 |
committer | Thierry Moreau <moreau@uw.edu> | Thu Jun 13 15:08:40 2019 -0700 |
tree | 577370b2f15ec53bc6a44ccdd780c429cceb097e | |
parent | c5ebbe7dad59f8d5d29b18453946f0d0b39e7202 [diff] |
[VTA] add support to event counters (#3347) * add support to event counters in VTA * fix comment * fix event-counter interface parameter * no longer needed * add sim back * add docs to event counters * fix docs * add more details about event counting * make dpi-module docs more accurate
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.