cc @driazati
You can view, comment on, or merge this pull request online at:
https://github.com/apache/tvm/pull/13106
-- Commit Summary --
* release process
-- File Changes --
M docs/contribute/release_process.rst (4)
-- Patch Links --
https://github.com/apache/tvm/pull/13106.patch
Closed #12832 as completed.
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Release done, thanks folks!
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Closed #12979 as completed.
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Release has finished so closing
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Voting closed: https://github.com/apache/tvm/issues/13101!
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Closed #13026 as completed.
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Closed #13101 as completed.
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Dear TVM community,
I'm glad to announce the results of the vote for the release of the v0.10.0.rc0
package. This vote passes with 10 +1 votes 4 binding), no 0 votes, and 0 -1
vote.
+1 votes
- Siyuan Feng (Hzfengsy) (binding)
- Tianqi Chen (tqchen) (binding)
- Wuwei Lin (vinx13) (binding)
- Xi
Add a step to bump the version numbers on main.
cc @driazati @areusch
You can view, comment on, or merge this pull request online at:
https://github.com/apache/tvm/pull/13039
-- Commit Summary --
* update release process docs
-- File Changes --
M docs/contribute/release_process.rst
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
cc @areusch
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As per https://tvm.apache.org/docs/contribute/release_process.html#id3
You can view, comment on, or merge this pull request online at:
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-- Commit Summary --
* add keys
-- File Changes --
M KEYS (59)
-- Patch Links --
https://github.com/apache/t
# 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
### adreno
* #12537, #12286, #11878
### aot
* #12550, #12182, #11876
### autotvm
* #12685, #12521
### byoc
* #12353, #12320, #12151, #12105, #12086, #12078, #11993, #11981, #12006,
#12002, #11822, #11979, #11770
### ci / testing
* #12778, #12695, #12773, #12534, #12663, #12473, #12361, #1
It appears the path has changed to the python github utils so I have refactored
things.
cc @driazati @areusch
You can view, comment on, or merge this pull request online at:
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-- Commit Summary --
* gather pr script change
-- File Changes --
M
As discussed in
https://github.com/apache/tvm-rfcs/blob/main/rfcs/0067-quarterly-releases.md,
releases will happen roughly every three months. I have been put in charge for
this one. This thread is meant to discuss the release schedule.
We will do a branch cut soon but accept cherry-picked cha
0
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+1
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+1
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Yeah the issue behind creating defaults is that we cannot create defaults that
work best for every situation. This is especially true since whenever we want
speed we trade accuracy which can sometimes become a problem.
For the defaults I envision that for most ops we don't accumulate to FP32. Fo
If there is not other objections, this will be merged on monday.
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@comaniac, I'll be talking about this at the TVM community meeting tomorrow so
put off merging until after.
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PTAL @comaniac
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Going to get to this tomorrow 😬. Promise 🤞
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cc @masahi
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Thanks for driving this review @comaniac. I'll get to this later in the week.
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So the associated PR is getting closer to a mergeable state. Is this RFC ready
to merge?
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I don't know Chris Sullivan's github handle so if someone could cc him too that
would be great.
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> Thanks for the answers. I'll review the PR to get more implementation details.
> One more question regarding the extensibility: can this be extended easily to
> support bfloat16?
It should be trivial (hope I don't eat my words). I'm not 100% sure of the
support for bfloat16 in current relay op
> Thanks for the RFC. I have two questions:
>
> 1. How to mark/set the color (i.e., attribute) of every operator?
> 2. It seems to me that if we register a casting checker instead of just a
> label (color), then we can simplify the algorithm a lot. Taking the case
> `A(green) - B(gray) - C(green
You can view, comment on, or merge this pull request online at:
https://github.com/apache/tvm-rfcs/pull/6
-- Commit Summary --
* draft v1
-- File Changes --
A rfcs/0001-AMP_pass.md (128)
-- Patch Links --
https://github.com/apache/tvm-rfcs/pull/6.patch
https://github.com/apache/tvm-
@masahi Thanks for the comments. PTAL
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@masahi PTAL. Also Chris Hoge.
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Updates the tutorial and goes more in depth by using a more substantial
operator than simple element-wise addition.
Instead we follow how PR #7334 and PR #7722 added cumulative product and
addition operators.
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Closed #7861.
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Thanks for contributing to TVM! Please refer to guideline
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the pull request is submitted, please request code reviews from
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