commit | 046910a4100c5a822133ade5dfe851a1eb0ad95a | [log] [tgz] |
---|---|---|
author | Leandro Nunes <leandro.nunes@arm.com> | Tue Mar 14 22:53:59 2023 +0000 |
committer | GitHub <noreply@github.com> | Tue Mar 14 15:53:59 2023 -0700 |
tree | 6d366cf07949f44cd1807cc8151f1f6ac049a4ed | |
parent | 46fae40030b7b371878d3b274bf41de25f31aea1 [diff] |
[Release] Adjust version to 0.11.1 (#14300) * Adjust version numbers for source package release, which does not contain git metadata to infer the release version. Change-Id: Ica12161b509a406cfe0ff26dd545b9a7ad20f89a
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.
TVM is licensed under the Apache-2.0 license.
Check out the TVM Documentation site for installation instructions, tutorials, examples, and more. The Getting Started with TVM tutorial is a great place to start.
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.