commit | 21937a067fe0e831244766b41ae915c833ff15ba | [log] [tgz] |
---|---|---|
author | ZHANG Hao <zhanghaohit@gmail.com> | Fri May 01 13:42:48 2020 +0800 |
committer | GitHub <noreply@github.com> | Thu Apr 30 22:42:48 2020 -0700 |
tree | f085dd5abd2e232ca659029035a142f3f7904102 | |
parent | 22e4b88060d26cc4c309cbbbf6fba66770c20e5b [diff] |
[pynq_driver] fix device early return (#7) Co-authored-by: Zhang Hao <zhanghao@4paradigm.com>
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: