commit | c47d36e77c0dfc508c2f9aa251b7a824baccf01a | [log] [tgz] |
---|---|---|
author | Krzysztof Parzyszek <kparzysz@quicinc.com> | Sat May 27 02:14:27 2023 -0500 |
committer | GitHub <noreply@github.com> | Sat May 27 16:14:27 2023 +0900 |
tree | fe8fc45c4ed57870bf39ca70426e2dbe917c7245 | |
parent | 4f041c96e72157c595941dc0c131b9842cc1dbd2 [diff] |
[Hexagon] Add support for v73, make v68 default (#14965) * [Hexagon] Add support for v73, make v68 default Snapdragon 8 Gen2 is v73, Hexagon SDK 5.2+ supports it. * Guard CPU versions with #ifdefs The CPU version constants are enums, but they are initialized with values that are #defined in HexagonVersions.h. Before using any HEX_CPU_Vxx, check if the corresponding initializer has been #defined.
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.