commit | 2e5ca24c769799bbef359d59eb4318f4baec52eb | [log] [tgz] |
---|---|---|
author | ZihengJiang <ziheng@apache.org> | Mon Feb 18 14:28:48 2019 -0800 |
committer | ZihengJiang <ziheng@apache.org> | Mon Feb 18 14:42:45 2019 -0800 |
tree | c005676717b33d5133bae01bfd80a618a4d1b28c | |
parent | 48f8198a5bc55be39ffb55c2b9c3611090e533a6 [diff] |
fix get layout in to_relay (#2610) (cherry picked from commit c71654277deea4e3467d1ff0235c192e8e7113e3)
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.