commit | 94354d65dcb27a47477c32178020d501daeff08c | [log] [tgz] |
---|---|---|
author | Attila Dusnoki <dati91@users.noreply.github.com> | Tue Oct 08 21:24:56 2019 +0200 |
committer | Thierry Moreau <moreau@uw.edu> | Tue Oct 08 12:24:56 2019 -0700 |
tree | fc587acd3cb1a90c40ed0fe5240ab2e581efdb5a | |
parent | 89be93339a7a2cf2a0561abbcd4039450b01d780 [diff] |
Fix wrong n_trial number in autotvm tutorials' progress bar (#4070) if n_trial is larger then config space.
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.