commit | 22e4b88060d26cc4c309cbbbf6fba66770c20e5b | [log] [tgz] |
---|---|---|
author | ZHANG Hao <zhanghaohit@gmail.com> | Wed Apr 29 23:57:04 2020 +0800 |
committer | GitHub <noreply@github.com> | Wed Apr 29 08:57:04 2020 -0700 |
tree | a36e5198b6112714523d9c59e515365d149b8fbf | |
parent | db65157208ec8fabb7b548c94596211b9db04190 [diff] |
[Hardware][Xilinx] utilize uram (#6) 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: