commit | af9d1d24b73030d7742dfb01b0ac24c58e0ffac4 | [log] [tgz] |
---|---|---|
author | Luis Vega <vegaluisjose@users.noreply.github.com> | Fri Jan 22 13:48:10 2021 -0800 |
committer | GitHub <noreply@github.com> | Fri Jan 22 13:48:10 2021 -0800 |
tree | eff365dc978f266eaa79b298d23439c89b98e03d | |
parent | 6787d7494f8815bce9523906935169f6385b9d93 [diff] |
[BYOC][Verilator] add support to dynamically load hardware library (#7286) * add files * remove import * remove os import * reorder header * fix header order cpplint * lint fix
Documentation | Contributors | Community | Release Notes
Apache TVM (incubating) 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. Checkout the Contributor Guide
We learned a lot from the following projects when building TVM.