commit | 5b6eb69b3c50aa6a56554ccff6bcc8bea82ea27d | [log] [tgz] |
---|---|---|
author | Luis Vega <vegaluisjose@users.noreply.github.com> | Fri Jul 19 20:33:18 2019 -0700 |
committer | Tianqi Chen <tqchen@users.noreply.github.com> | Fri Jul 19 20:33:18 2019 -0700 |
tree | e96012bc5353c223604b3f1f12b0d5795bbdc1f2 | |
parent | 5f3f2b62d7aafc95dea3b94ea1095a6d897d7e7b [diff] |
bugfix function args order in alu instruction generation (#3592)
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.