Re: [apache/tvm] [release] v0.10.0 Release Schedule (Issue #12832)

2022-10-10 Thread Qiang Zhang
Does the release do more extra testing than the branch main? In general, the release process contains two kinds of works, the first one is arrangement, like we have done here, e.g, release note, license confirmation, ..., the other one is testing, some company or organization may use the work "s

Re: [apache/tvm] [VOTE] Release Apache TVM v0.10.0.rc0 (Issue #13026)

2022-10-10 Thread Yuanjing Shi
+1. Great work @AndrewZhaoLuo ! -- Reply to this email directly or view it on GitHub: https://github.com/apache/tvm/issues/13026#issuecomment-1273894358 You are receiving this because you are subscribed to this thread. Message ID:

[apache/tvm] [VOTE] Release Apache TVM v0.10.0.rc0 (Issue #13026)

2022-10-10 Thread AndrewZhaoLuo
Dear TVM community, This is a call for vote to release Apache TVM version v0.10.0.  Please see #12102 for any edits you would like to see included in the release notes. Link to release notes: https://github.com/apache/tvm/issues/12979 Link to release candidate: https://dist.apache.org/repos/d

Re: [apache/tvm] [COMMUNITY] Add andrewzhaoluo key for release (PR #13025)

2022-10-10 Thread AndrewZhaoLuo
cc @areusch -- Reply to this email directly or view it on GitHub: https://github.com/apache/tvm/pull/13025#issuecomment-1273847511 You are receiving this because you are subscribed to this thread. Message ID:

[apache/tvm] [COMMUNITY] Add andrewzhaoluo key for release (PR #13025)

2022-10-10 Thread AndrewZhaoLuo
As per https://tvm.apache.org/docs/contribute/release_process.html#id3 You can view, comment on, or merge this pull request online at: https://github.com/apache/tvm/pull/13025 -- Commit Summary -- * add keys -- File Changes -- M KEYS (59) -- Patch Links -- https://github.com/apache/t

[apache/tvm] Pre-release v0.10.0rc0 - [Draft] Apache TVM v0.10.0

2022-10-10 Thread AndrewZhaoLuo
# Introduction The TVM community has worked since the v0.9 release to deliver the following new exciting improvments! * Metaschedule * Software pipelining and padding for irregular shapes for auto tensorization * Stabilized and polished user-interfaces (e.g. `database` changes, `tune_re