commit | 981bf2f32729b37b2ad302052d6c74c3734a17c9 | [log] [tgz] |
---|---|---|
author | Luis Vega <vegaluisjose@users.noreply.github.com> | Sun Aug 22 18:37:22 2021 -0700 |
committer | GitHub <noreply@github.com> | Sun Aug 22 18:37:22 2021 -0700 |
tree | a5c5d5bb85f5e273a0074f624d9347f774bdb173 | |
parent | 3ec5f21a3c962c559d38f84a02a2ad15908664b4 [diff] |
fix types (#34)
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: