commit | 6787d7494f8815bce9523906935169f6385b9d93 | [log] [tgz] |
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author | SebastianBoblestETAS <73823717+SebastianBoblestETAS@users.noreply.github.com> | Fri Jan 22 14:56:18 2021 +0100 |
committer | GitHub <noreply@github.com> | Fri Jan 22 08:56:18 2021 -0500 |
tree | 3b9dbd062ddd1d9b4885d242bfd66f087eec7308 | |
parent | 790344c6ef035947caaaf1cd812ade8d862802aa [diff] |
get_top_results works on a copy of output (#7327)
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.