ysh329 closed pull request #14712: [release] Bump version numbers to v0.12.0
URL: https://github.com/apache/tvm/pull/14712
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ysh329 commented on PR #14712:
URL: https://github.com/apache/tvm/pull/14712#issuecomment-1527080398
I rebase failed and re PR with #14738
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tvm-bot commented on PR #14738:
URL: https://github.com/apache/tvm/pull/14738#issuecomment-1527079926
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ysh329 opened a new pull request, #14738:
URL: https://github.com/apache/tvm/pull/14738
This bumps all the **version numbers on v0.12.0 branch** as correct
**v0.12.0**.
cc @driazati @Johnson9009 @junrushao
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ysh329 commented on PR #14712:
URL: https://github.com/apache/tvm/pull/14712#issuecomment-1527061789
@tvm-bot rerun
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masahi pushed a change to branch unity
in repository https://gitbox.apache.org/repos/asf/tvm.git
from 9914a77b0f [Unity] Process all Relax functions in
CompositeFunctionAnnotator (#14736)
add 126f8d082b [Unity] Add opt
masahi merged PR #14730:
URL: https://github.com/apache/tvm/pull/14730
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Hzfengsy commented on PR #14732:
URL: https://github.com/apache/tvm/pull/14732#issuecomment-1527026549
cc @junrushao
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tvm-bot commented on PR #14737:
URL: https://github.com/apache/tvm/pull/14737#issuecomment-1527023230
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cyx-6 opened a new pull request, #14737:
URL: https://github.com/apache/tvm/pull/14737
This PR expands the support of attention bias layout. In the past, we only
support 3 types of layout, with `BNSS'`, `BSS'`, `BS'`, e.g. `BNSS'` for
(batch_size, num_head, seq_len, seq_len_kv). However, c
echuraev commented on PR #14707:
URL: https://github.com/apache/tvm/pull/14707#issuecomment-1526970118
@tvm-bot rerun
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yelite commented on PR #14665:
URL: https://github.com/apache/tvm/pull/14665#issuecomment-1526860017
@areusch Just want to clarify, I don't think the approach I shared is
strictly better than the one implemented in this PR. I just wanted to share
some thought on this, because I faced the sa
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masahi pushed a commit to branch unity
in repository https://gitbox.apache.org/repos/asf/tvm.git
The following commit(s) were added to refs/heads/unity by this push:
new 9914a77b0f [Unity] Process all Relax functions in
Co
masahi merged PR #14736:
URL: https://github.com/apache/tvm/pull/14736
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driazati pushed a commit to branch v0.12.0
in repository https://gitbox.apache.org/repos/asf/tvm.git
The following commit(s) were added to refs/heads/v0.12.0 by this push:
new dd25968edc [cherry-pick][ARITH] Enhance Canonic
driazati merged PR #14715:
URL: https://github.com/apache/tvm/pull/14715
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areusch closed pull request #14665: [Unity] Add MultiSpan and attach it to
CallNode produced by FuseOps
URL: https://github.com/apache/tvm/pull/14665
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areusch commented on PR #14665:
URL: https://github.com/apache/tvm/pull/14665#issuecomment-1526797435
i understand your point and that you're proposing a workable solution, but
you haven't addressed the drawback of that solution which is that there's no
forcing function to ensure that passe
yongwww commented on PR #14635:
URL: https://github.com/apache/tvm/pull/14635#issuecomment-1526702995
@tvm-bot rerun
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masahi commented on code in PR #14730:
URL: https://github.com/apache/tvm/pull/14730#discussion_r1179771263
##
python/tvm/meta_schedule/relax_integration.py:
##
@@ -193,6 +194,8 @@ def tune_relax(
The maximum number of trials to run
max_trials_per_task : Optional[i
sunggg commented on code in PR #14730:
URL: https://github.com/apache/tvm/pull/14730#discussion_r1179730946
##
python/tvm/meta_schedule/relax_integration.py:
##
@@ -193,6 +194,8 @@ def tune_relax(
The maximum number of trials to run
max_trials_per_task : Optional[i
tvm-bot commented on PR #14736:
URL: https://github.com/apache/tvm/pull/14736#issuecomment-1526458367
Thanks for contributing to TVM! Please refer to the contributing guidelines
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request code reviews from
yelite opened a new pull request, #14736:
URL: https://github.com/apache/tvm/pull/14736
This PR makes CompositeFunctionAnnotator process all Relax functions rather
than just the 'main' function. This enables running cutlass partitioning on
LLaMA from web-llm.
cc @masahi @sunggg
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echuraev commented on PR #14707:
URL: https://github.com/apache/tvm/pull/14707#issuecomment-1526393628
@tvm-bot rerun
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yongwww commented on PR #14635:
URL: https://github.com/apache/tvm/pull/14635#issuecomment-1526363584
@tvm-bot rerun
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ruihangl pushed a commit to branch unity
in repository https://gitbox.apache.org/repos/asf/tvm.git
The following commit(s) were added to refs/heads/unity by this push:
new b40391961a [Unity] Add system lib build option to r
MasterJH5574 merged PR #14734:
URL: https://github.com/apache/tvm/pull/14734
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tvm-bot commented on PR #14735:
URL: https://github.com/apache/tvm/pull/14735#issuecomment-1526295268
Thanks for contributing to TVM! Please refer to the contributing guidelines
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tvm-bot commented on PR #14735:
URL: https://github.com/apache/tvm/pull/14735#issuecomment-1526295232
Thanks for contributing to TVM! Please refer to the contributing guidelines
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kparzysz-quic opened a new pull request, #14735:
URL: https://github.com/apache/tvm/pull/14735
The PadCompute function would pass empty index to obtain the pad value. This
caused a crash when the pad value was given in a tensor with the following
message:
```
Check failed: shape.size(
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driazati pushed a change to branch driazati/release_merge
in repository https://gitbox.apache.org/repos/asf/tvm.git
discard d3e168b2db [ci] Disable docker build
discard 9ffd008d75 [cherry-pick][ARITH] Enhance CanonicalSimplify
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driazati pushed a change to branch driazati/release_merge
in repository https://gitbox.apache.org/repos/asf/tvm.git
discard b431770942 [ci] Disable docker build
add d3e168b2db [ci] Disable docker build
This update added n
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ruihangl pushed a commit to branch unity
in repository https://gitbox.apache.org/repos/asf/tvm.git
The following commit(s) were added to refs/heads/unity by this push:
new 2232207afd [Unity] Fix ForceNarrowIndexToI32 so it
MasterJH5574 merged PR #14733:
URL: https://github.com/apache/tvm/pull/14733
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zxybazh commented on code in PR #14730:
URL: https://github.com/apache/tvm/pull/14730#discussion_r1179512748
##
python/tvm/meta_schedule/relax_integration.py:
##
@@ -193,6 +194,8 @@ def tune_relax(
The maximum number of trials to run
max_trials_per_task : Optional[
yongwww commented on PR #14651:
URL: https://github.com/apache/tvm/pull/14651#issuecomment-1526091903
It is ready for review now, CI is supposed to be green soon. cc: @tqchen
@masahi
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driazati closed pull request #14672: [ci] Add sccache logging
URL: https://github.com/apache/tvm/pull/14672
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driazati closed pull request #14253: [ci] Add -LARGE suffix to instance labels
URL: https://github.com/apache/tvm/pull/14253
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driazati closed pull request #13903: [ci] Disable GPU unit tests
URL: https://github.com/apache/tvm/pull/13903
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tqchen commented on PR #14734:
URL: https://github.com/apache/tvm/pull/14734#issuecomment-1526036486
Good suggestion, that is a great topic for discussion.
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tvm-bot commented on PR #14734:
URL: https://github.com/apache/tvm/pull/14734#issuecomment-1525985728
Thanks for contributing to TVM! Please refer to the contributing guidelines
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request code reviews from
tqchen opened a new pull request, #14734:
URL: https://github.com/apache/tvm/pull/14734
This PR add system lib build option to relax
also adds an util that creates an archived static
library in compilation
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AndrewZhaoLuo commented on issue #14661:
URL: https://github.com/apache/tvm/issues/14661#issuecomment-1525949224
Ah the answer is as of opset 11, strides is an optional attribute. If it is
not present, you just treat it as 1 along every spatial axis.
Should be simple to fix, but basi
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jwfromm pushed a commit to branch unity
in repository https://gitbox.apache.org/repos/asf/tvm.git
The following commit(s) were added to refs/heads/unity by this push:
new 9c36056a12 [Unity] Allow modifying function signatur
jwfromm merged PR #14719:
URL: https://github.com/apache/tvm/pull/14719
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tvm-bot commented on PR #14733:
URL: https://github.com/apache/tvm/pull/14733#issuecomment-1525739819
Thanks for contributing to TVM! Please refer to the contributing guidelines
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tqchen opened a new pull request, #14733:
URL: https://github.com/apache/tvm/pull/14733
This PR fixes the forece narrow to i32 pass so it ignores integer with
smaller bitwidth
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ysh329 commented on PR #14715:
URL: https://github.com/apache/tvm/pull/14715#issuecomment-1525723215
> > > @ysh329 I believe this PR is exposing a latent bug that was being
hidden by the merge before, I think we can fix it by cherry picking #14538,
that works locally for me at least
> >
echuraev commented on PR #14707:
URL: https://github.com/apache/tvm/pull/14707#issuecomment-1525717999
@tvm-bot rerun
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tvm-bot commented on PR #14732:
URL: https://github.com/apache/tvm/pull/14732#issuecomment-1525645712
Thanks for contributing to TVM! Please refer to the contributing guidelines
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apeskov opened a new pull request, #14732:
URL: https://github.com/apache/tvm/pull/14732
Custom rule mechanics allows to have "schedule_rule" attribute equals
"None". This value will be ignored by `ApplyCustomRuleNode`. But also this
block will be ignore by all other rules. It happens becau
echuraev commented on PR #14707:
URL: https://github.com/apache/tvm/pull/14707#issuecomment-1525590894
@tvm-bot rerun
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tvm-bot commented on PR #14731:
URL: https://github.com/apache/tvm/pull/14731#issuecomment-1525559501
Thanks for contributing to TVM! Please refer to the contributing guidelines
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blufissure commented on issue #14729:
URL: https://github.com/apache/tvm/issues/14729#issuecomment-1525509623
> Hi @blufissure. I cannot reproduce this crash in the latest TVM (i.e.,
0.13.dev0). I guess this bug has been fixed.
In the latest version, TVM will not check the negative un
jikechao commented on issue #14729:
URL: https://github.com/apache/tvm/issues/14729#issuecomment-1525496481
Hi @blufissure. I cannot reproduce this crash in the latest TVM (i.e.,
0.13.dev0). I guess this bug has been fixed.
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tvm-bot commented on PR #14730:
URL: https://github.com/apache/tvm/pull/14730#issuecomment-1525105552
Thanks for contributing to TVM! Please refer to the contributing guidelines
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blufissure opened a new issue, #14729:
URL: https://github.com/apache/tvm/issues/14729
Hello, I’m studying TVM and its low-level operators recently. I tried to
construct some test files but I was puzzled by the results of some of the
files. When I built different statements, different execu
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