commit | 43110a8bfd3032881a5e73b6eb2a689afbfbf476 | [log] [tgz] |
---|---|---|
author | Anthony Mai <mai_anthony@hotmail.com> | Mon Jan 28 21:14:18 2019 -0800 |
committer | Tianqi Chen <tqchen@users.noreply.github.com> | Mon Jan 28 21:14:18 2019 -0800 |
tree | fd560cac3226ed86b863b260f64448b83d9d7f45 | |
parent | 417a562e7dacf4008561c01474003b738554eb65 [diff] |
Optimize Linux shared library modules (*.so files) (#2445)
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.