commit | dfe9f572a43d41e0c1ecdf036cea97042a0febfe | [log] [tgz] |
---|---|---|
author | Luis Vega <vegaluisjose@users.noreply.github.com> | Mon May 03 09:36:01 2021 -0700 |
committer | GitHub <noreply@github.com> | Mon May 03 09:36:01 2021 -0700 |
tree | ef4cc87f5a994a38d15bbff4694bfea5f2d26ef3 | |
parent | 43194178b4e570a5f1dd4f3f9d37ee16fc1b65be [diff] |
[App][Verilator] change scalar add to parametric-vector-add (#26) * refactor verilator app * update makefile variable
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: