commit | 0d0d515c1b25f16dc3c6d4ab0277ef9173b1d992 | [log] [tgz] |
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author | Yizhi Liu <liuyizhi@apache.org> | Mon Jun 29 11:00:08 2020 -0700 |
committer | GitHub <noreply@github.com> | Mon Jun 29 11:00:08 2020 -0700 |
tree | e53ac728855ae0812a129f741c5c5f4f2f16f3fb | |
parent | 6fa80adca3431b532ff071a301844022a5ad0296 [diff] |
Fix some typo errors in license header (#5957) Signed-off-by: leonwanghui <wanghui71leon@gmail.com> Co-authored-by: leonwanghui <wanghui71leon@gmail.com>
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.