| tag | 1595c5d83c792141791ba87b9ebc525f7d9799aa | |
|---|---|---|
| tagger | tqchen <tianqi.tchen@gmail.com> | Mon Sep 03 12:24:49 2018 -0700 |
| object | 60769b77f9abe29aafabda4d5d1cd625e7c61f9f |
release 0.4
| commit | 60769b77f9abe29aafabda4d5d1cd625e7c61f9f | [log] [tgz] |
|---|---|---|
| author | Leyuan Wang <laurawly@gmail.com> | Mon Aug 13 09:35:46 2018 -0700 |
| committer | Tianqi Chen <tqchen@users.noreply.github.com> | Mon Aug 13 09:35:46 2018 -0700 |
| tree | 1eeb549ef19fc4683246a106a5e8d1780304c00e | |
| parent | 19cf5c66ada5ed9be027eaafae07099cfaf93164 [diff] |
Fixed bugs for SSD sorting and multbox detection (#1578)
Documentation | Contributors | Community | Release Notes
TVM is a compiler stack for deep learning systems. It is designed to close the gap between the productivity-focused deep learning frameworks, and the performance- and efficiency-focused hardware backends. TVM works with deep learning frameworks to provide end to end compilation to different backends. Checkout the tvm stack homepage for more information.
© Contributors Licensed under an Apache-2.0 license.
TVM adopts apache committer model, we aim to create an open source project that is maintained and owned by the community. Checkout the Contributor Guide
We learnt a lot from the following projects when building TVM.