commit | 28de742d5270d2df3beb1713538967bf8a6962dd | [log] [tgz] |
---|---|---|
author | Yuchen Jin <yuchenj@cs.washington.edu> | Sat Jul 31 05:39:51 2021 -0700 |
committer | GitHub <noreply@github.com> | Sat Jul 31 08:39:51 2021 -0400 |
tree | 404ac751ac2b87c475f780a8b5b03c7849f6267c | |
parent | 7d8a774a6bd87f4e36ced3202d4ee1f06594c104 [diff] |
[Refactor] Unify the shared pass prefix between vm and graph (#8526)
Documentation | Contributors | Community | Release Notes
Apache 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.
© 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. Check out the Contributor Guide.
We learned a lot from the following projects when building TVM.