commit | 365b03b04bc9139359411f4e7d1f1339113e71c6 | [log] [tgz] |
---|---|---|
author | Tianqi Chen <tqchen@users.noreply.github.com> | Sun Nov 24 00:22:55 2019 -0800 |
committer | Yizhi Liu <liuyizhi@apache.org> | Sun Nov 24 00:22:55 2019 -0800 |
tree | 24204206f030c7a0995c963cc2679a9a1b71613a | |
parent | d1494bc73d4f122d52899556a9331e6298438798 [diff] |
[LINT] Remove unnecessary copyright message for files with ASF header (#4409) * [LINT] Improve the check tool to handle ASF copyright message. * [LINT] Remove unnecessary copyright message as per ASF requirement. * Fix codegen hybrid * [LINT] Broaden license checks to include html, xml * [LINT] Fix rest of the files * Fix notice * [LINT] Improve check file type error message
VTA (versatile tensor accelerator) is an open-source deep learning accelerator complemented with an end-to-end TVM-based compiler stack.
The key features of VTA include:
Learn more about VTA here.