commit | fbdffeb546b350eedb470f07b7915341610e3367 | [log] [tgz] |
---|---|---|
author | PENGUINLIONG <admin@penguinliong.moe> | Tue Apr 20 22:40:45 2021 +0800 |
committer | GitHub <noreply@github.com> | Tue Apr 20 10:40:45 2021 -0400 |
tree | 145dba411c722f7e0dbec64422093bfc066833d4 | |
parent | d3e622728874c9bdc07b14267f0e37bcbb0b30a8 [diff] |
Protect child process enumeration in AutoTVM (#7887)
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.