junrushao commented on code in PR #14111:
URL: https://github.com/apache/tvm/pull/14111#discussion_r1117882607
##
src/script/printer/tir/expr.cc:
##
@@ -222,23 +222,9 @@ TVM_STATIC_IR_FUNCTOR(IRDocsifier, vtable)
.set_dispatch("", [](tir::Call call, ObjectPath call_p,
IRDo
Rainy-Memory commented on code in PR #14009:
URL: https://github.com/apache/tvm/pull/14009#discussion_r1117882058
##
tests/python/unittest/test_async_multi_level_tiling.py:
##
@@ -0,0 +1,340 @@
+# Licensed to the Apache Software Foundation (ASF) under one
Review Comment:
ren
junrushao commented on code in PR #14009:
URL: https://github.com/apache/tvm/pull/14009#discussion_r1117881522
##
tests/python/unittest/test_async_multi_level_tiling.py:
##
@@ -0,0 +1,340 @@
+# Licensed to the Apache Software Foundation (ASF) under one
Review Comment:
please
Hzfengsy commented on code in PR #14097:
URL: https://github.com/apache/tvm/pull/14097#discussion_r1117879157
##
src/relax/transform/fuse_ops.cc:
##
@@ -395,14 +394,8 @@ class FunctionCreator : public ExprMutator {
}
}
- for (const Expr& arg :
yelite opened a new pull request, #14128:
URL: https://github.com/apache/tvm/pull/14128
This PR adds support of transposed matmul to Relax CUTLASS backend. It is
able to offload Relax expr like `R.nn.relu(R.matmul(x, R.permute_dims(y)) +
bias)`.
cc @vinx13 @masahi
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The following commit(s) were added to refs/heads/unity by this push:
new 82578c394c [Unity][BlockBuilder] Add `name_hint` ar
MasterJH5574 merged PR #14126:
URL: https://github.com/apache/tvm/pull/14126
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new cd9193a7eb Fix release-branch Jenkins builds (#1
areusch merged PR #14121:
URL: https://github.com/apache/tvm/pull/14121
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tvm-bot commented on PR #14127:
URL: https://github.com/apache/tvm/pull/14127#issuecomment-1445001239
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zxybazh opened a new pull request, #14127:
URL: https://github.com/apache/tvm/pull/14127
This PR fixes the issue of loss of data type during Legalization.
Previously, if we use a constant scalar in operators like `multiply`, it will
automatically be converted to a python data type variable,
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github-bot pushed a change to branch nightly
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from d5806eca76 [Frontend][Paddle] Add where_index op and add vm for paddle
frontend's unitest (#14099)
add 9b6df18
SiriusNEO opened a new pull request, #14126:
URL: https://github.com/apache/tvm/pull/14126
This PR adds `name_hint` argument for `emit` and `emit_output` API of Relax
blockbuilder. The argument exists in the C++ side but not exposed to Python
side (So user who use the Python bb.emit will le
tvm-bot commented on PR #14126:
URL: https://github.com/apache/tvm/pull/14126#issuecomment-1444971931
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discard e58ee9fd8d Remove slashes from dockerfile tag
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tvm-bot commented on PR #14125:
URL: https://github.com/apache/tvm/pull/14125#issuecomment-1444878138
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mehrdadh opened a new pull request, #14125:
URL: https://github.com/apache/tvm/pull/14125
This PR removes old macros in crt_config.h.template.
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tvm-bot commented on PR #14124:
URL: https://github.com/apache/tvm/pull/14124#issuecomment-1444867605
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mehrdadh opened a new pull request, #14124:
URL: https://github.com/apache/tvm/pull/14124
This PR fixes a bug on TFLite frontend import. Basically for conv2d group
cases TFLite was only detecting group on only operators with specific
`DEPTHWISE_CONV_2D` definition and ignoring group cases t
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mehrdadh closed issue #14074: [CI Problem]
gallery/how_to/work_with_microtvm/micro_tvmc.sh fails silently
URL: https://github.com/apache/tvm/issues/14074
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The following commit(s) were added to refs/heads/main by this push:
new f7165a1328 [microTVM] Fix tvmc tutorial (#14076)
f716
mehrdadh merged PR #14076:
URL: https://github.com/apache/tvm/pull/14076
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tvm-bot commented on PR #14123:
URL: https://github.com/apache/tvm/pull/14123#issuecomment-1444723646
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yongwww opened a new pull request, #14123:
URL: https://github.com/apache/tvm/pull/14123
Add R.emit_te, a requested support
https://github.com/tlc-pack/relax/issues/197
cc: @psrivas2 @Hzfengsy @YuchenJin @tqchen
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mehrdadh commented on PR #14076:
URL: https://github.com/apache/tvm/pull/14076#issuecomment-1444681463
@gromero thanks! Updated both title and PR description.
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tqchen commented on PR #14097:
URL: https://github.com/apache/tvm/pull/14097#issuecomment-1444583469
Please run the following command to rebase the changes
```
git rebase --onto upstream/unity upstream/unity-rebase-backup-2023-02-24
```
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tqchen pushed a change to branch unity
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omit 268c06528c [Unity][Fix] Fix bug in MergeCompositeFunctions (#14117)
omit 0fae68d85e [Unity] Update tests again to adap
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at 268c06528c [Unity][Fix] Fix bug in MergeCompositeFunctions (#14117)
No new revisions were added
tvm-bot commented on PR #14122:
URL: https://github.com/apache/tvm/pull/14122#issuecomment-1444556788
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jsheng-jian opened a new pull request, #14122:
URL: https://github.com/apache/tvm/pull/14122
Minor fix in pytorch frontend to compile gpt2 model, reproduce script.
```
from transformers import GPT2LMHeadModel
import torch
import tvm
from tvm import relay
inp = torch.
MasterJH5574 commented on code in PR #14111:
URL: https://github.com/apache/tvm/pull/14111#discussion_r1117640490
##
src/script/printer/tir/expr.cc:
##
@@ -222,23 +222,9 @@ TVM_STATIC_IR_FUNCTOR(IRDocsifier, vtable)
.set_dispatch("", [](tir::Call call, ObjectPath call_p,
I
driazati commented on PR #14121:
URL: https://github.com/apache/tvm/pull/14121#issuecomment-164966
the failure I think is because the `/` in the branch name is getting used in
the docker tag, I pushed a fix to strip them out (but if it persists we can
just merge this and proceed with th
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discard 37a38a5dc0 [Unity][Relax] Set Shape Function to Be Host Function
(#14090)
discard 1ff7188079 [Unity] Refactor Re
areusch commented on PR #14121:
URL: https://github.com/apache/tvm/pull/14121#issuecomment-129403
just noting that i think the docker build failure is unrelated here
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Author: leandron
Date: Fri Feb 24 20:22:56 2023
New Revision: 60331
Log:
Add v0.11.0.rc0
Added:
dev/tvm/tvm-v0.11.0-rc0/
dev/tvm/tvm-v0.11.0-rc0/apache-tvm-src-v0.11.0.rc0.tar.gz (with props)
dev/tvm/tvm-v0.11.0-rc0/apache-tvm-src-v0.11.0.rc0.tar.gz.asc
dev/tvm/tvm-v0.11.0-rc0/a
mehrdadh commented on PR #14076:
URL: https://github.com/apache/tvm/pull/14076#issuecomment-1444340748
@gromero We finally found the CI issue. PTAL, thanks!
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leandron commented on issue #14119:
URL: https://github.com/apache/tvm/issues/14119#issuecomment-1444322927
OK, so I'll validate that the tests failing here are not failing with your
trial run. If they pass, then I'll push the Release Candidate and we can, for
now, declare that as an issue
tvm-bot commented on PR #14121:
URL: https://github.com/apache/tvm/pull/14121#issuecomment-1444270931
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areusch opened a new pull request, #14121:
URL: https://github.com/apache/tvm/pull/14121
This PR switches to using `env.CHANGE_ID` to identify whether we are
building a PR. It also uses `CHANGE_TARGET` instead of hardcoding `main` check
in Prepare.groovy. Let's merge this to v0.11.0 release
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commit 853b18d4b19f228f8119c5235564f8b017cbaab2
Author: Andrew Reusch
AuthorDate: Fri Feb 24 10:27:37 2023
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omit fd3b8b4767 Try using CHANGE_ID to identify pull requests everywhere.
new 853b18d4b1 Try usin
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Author: Andrew Reusch
AuthorDate: Fri Feb 24 10:27:37 2023
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new fd
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tvm-bot commented on PR #14120:
URL: https://github.com/apache/tvm/pull/14120#issuecomment-1444229176
Thanks for contributing to TVM! Please refer to the contributing guidelines
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areusch opened a new pull request, #14120:
URL: https://github.com/apache/tvm/pull/14120
do not merge
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commit 561192c4fc0df7deb8c71b3ce02de08ea0a81310
Author: Andrew Reusch
AuthorDate: Fri Feb 24 10:27:37 2023
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areusch commented on issue #14119:
URL: https://github.com/apache/tvm/issues/14119#issuecomment-1444213185
i can't reproduce this locally, but i notice that the release branch CI is
merging `main` back in so I wonder if there is a collision there? could you say
more about how you're invokin
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This branc
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commit c91ff47bc646b545ab5eb538d004a4d0fbabbd40
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vinx13 commented on code in PR #14109:
URL: https://github.com/apache/tvm/pull/14109#discussion_r1117453966
##
src/relax/transform/fuse_ops.cc:
##
@@ -908,23 +908,27 @@ class PatternBasedPartitioner : ExprVisitor {
using GroupMap = OperatorFusor::GroupMap;
using ExprVisito
leandron opened a new issue, #14119:
URL: https://github.com/apache/tvm/issues/14119
While testing `v0.11.0` branch, there is an issue making many tests to fail,
to do with `python/tvm/micro/build.py:106:
MicroTVMTemplateProjectNotFoundError`.
```
tvm.micro.build.MicroTVMTemplateP
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mousius pushed a commit to branch main
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The following commit(s) were added to refs/heads/main by this push:
new 74bcca2535 [Docker] Update ci-cpu and ci-arm to tag
2
Mousius merged PR #14116:
URL: https://github.com/apache/tvm/pull/14116
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MasterJH5574 closed pull request #14118: [FIX][MetaSchedule] JSON dump FloatImm
at least one decimal
URL: https://github.com/apache/tvm/pull/14118
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sunggg commented on code in PR #14097:
URL: https://github.com/apache/tvm/pull/14097#discussion_r1117281062
##
tests/python/relax/test_transform_fuse_ops_by_pattern.py:
##
@@ -460,5 +496,10 @@ def test_multiple_calls_same_extern():
check(Conv2dx2, [("cutlass.conv2d", pat)],
rafzi commented on PR #14114:
URL: https://github.com/apache/tvm/pull/14114#issuecomment-1443875602
@Johnson9009 Looks good, it seems like that was a misunderstanding I had
about what the binding requires.
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liaojianjin commented on issue #13759:
URL: https://github.com/apache/tvm/issues/13759#issuecomment-1443851270
You can find how to export index_put node in here
[@_onnx_symbolic("aten::index_put")](https://github.com/pytorch/pytorch/blob/master/torch/onnx/symbolic_opset11.py#L208).
If
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ruihangl pushed a commit to branch unity
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The following commit(s) were added to refs/heads/unity by this push:
new 268c06528c [Unity][Fix] Fix bug in MergeCompositeFu
MasterJH5574 merged PR #14117:
URL: https://github.com/apache/tvm/pull/14117
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tvm-bot commented on PR #14118:
URL: https://github.com/apache/tvm/pull/14118#issuecomment-1443846218
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MasterJH5574 opened a new pull request, #14118:
URL: https://github.com/apache/tvm/pull/14118
In MetaSchedule, when dumping a FloatImm as JSON, at this moment we are using
```c++
os << std::setprecision(20) << float_imm->value;
```
In this way, float values that are "integers"
tqchen commented on PR #13918:
URL: https://github.com/apache/tvm/pull/13918#issuecomment-1443822691
get it, thanks for the explaination
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honghuichao commented on issue #13759:
URL: https://github.com/apache/tvm/issues/13759#issuecomment-1443819395
Thank you for your suggestion.
But this op is too much in my torch code. so that I can't modify it one by
one.
If you don't have time to solve this problem, I want to tr
liaojianjin commented on issue #13759:
URL: https://github.com/apache/tvm/issues/13759#issuecomment-1443772108
@honghuichao You can check the shape of index tensors before `infer_shape()`
and return `(indices, value)` early with flattened index tensors and value
tensor.
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Lunderberg commented on PR #13918:
URL: https://github.com/apache/tvm/pull/13918#issuecomment-1443751002
I think the check on the lower bound is required, though primarily to avoid
unnecessary offsets when the bound is unknown. If the bounds of a signed
32-bit argument `x` are unknown, the
yongwww commented on PR #14117:
URL: https://github.com/apache/tvm/pull/14117#issuecomment-1443741665
> > would you mind adding a test case for this fix?
>
> @yongwww Such concurrent modification issues are already covered by the
test suite. They just show up under certain compilation
MasterJH5574 commented on PR #14117:
URL: https://github.com/apache/tvm/pull/14117#issuecomment-1443727639
> would you mind adding a test case for this fix?
@yongwww Such concurrent modification issues are already covered by the test
suite. They just show up under certain compilation
honghuichao commented on issue #13759:
URL: https://github.com/apache/tvm/issues/13759#issuecomment-1443725461
@liaojianjin
@classmethod
def _index_put(cls, inputs, attr, params):
in_tensor = inputs[0]
indices, values = cls._check_index(inputs[1 : len(i
tvm-bot commented on PR #14117:
URL: https://github.com/apache/tvm/pull/14117#issuecomment-1443704993
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Ubospica opened a new pull request, #14117:
URL: https://github.com/apache/tvm/pull/14117
Currently `MergeCompositeFunctions` will modify the map while iterating over
it, and that makes
tests/python/relax/test_transform_merge_composite_functions.py does not pass on
my computer. This PR fix
Ubospica commented on code in PR #14062:
URL: https://github.com/apache/tvm/pull/14062#discussion_r1117021573
##
src/relax/transform/merge_composite_functions.cc:
##
@@ -0,0 +1,355 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor lice
liaojianjin commented on issue #13759:
URL: https://github.com/apache/tvm/issues/13759#issuecomment-1443680558
@honghuichao Thanks for your report.
I can't reproduce this error in my environment (pytorch == 1.13.1, onnx ==
1.12.0, tvm commit is d8833bdbb), the converted IR is shown at the
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tqchen pushed a commit to branch main
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The following commit(s) were added to refs/heads/main by this push:
new 265bebf65f [Runtime] Fix Potential DeviceAPIManager Mem
tqchen merged PR #14114:
URL: https://github.com/apache/tvm/pull/14114
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The following commit(s) were added to refs/heads/unity by this push:
new 0fae68d85e [Unity] Update tests again to adapt to lat
tqchen merged PR #14115:
URL: https://github.com/apache/tvm/pull/14115
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masahi commented on PR #14065:
URL: https://github.com/apache/tvm/pull/14065#issuecomment-1443571741
See https://github.com/pytorch/pytorch/pull/64430. This doesn't seem like an
op that PT users use. Are you adding `slice_scatter` and `select_scatter` as
well? Please give us a good reason f
masahi commented on PR #14065:
URL: https://github.com/apache/tvm/pull/14065#issuecomment-1443563208
I hesitate to merge such big manual IR op unless there is a concrete use
case for it. This seems like a very strange op to me, I wonder why PT added it.
The operator set is supposed to
vvchernov commented on PR #14065:
URL: https://github.com/apache/tvm/pull/14065#issuecomment-1443553855
Hello @masahi! In general I copy-past description from pytorch docs, but ok
I will try to recheck English. It does not have any scecified use case it was
done in frames of my scatter-like
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masahi pushed a change to branch main
in repository https://gitbox.apache.org/repos/asf/tvm.git
from d5806eca76 [Frontend][Paddle] Add where_index op and add vm for paddle
frontend's unitest (#14099)
add 9b6df18f3a [TO
masahi merged PR #14110:
URL: https://github.com/apache/tvm/pull/14110
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masahi commented on code in PR #14062:
URL: https://github.com/apache/tvm/pull/14062#discussion_r1116841361
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src/relax/transform/merge_composite_functions.cc:
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+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor licens
Ubospica commented on code in PR #14062:
URL: https://github.com/apache/tvm/pull/14062#discussion_r1116828865
##
src/relax/transform/merge_composite_functions.cc:
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+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor lice
Ubospica commented on code in PR #14062:
URL: https://github.com/apache/tvm/pull/14062#discussion_r1116828865
##
src/relax/transform/merge_composite_functions.cc:
##
@@ -0,0 +1,355 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor lice
tvm-bot commented on PR #14116:
URL: https://github.com/apache/tvm/pull/14116#issuecomment-1443508098
Thanks for contributing to TVM! Please refer to the contributing guidelines
https://tvm.apache.org/docs/contribute/ for useful information and tips. Please
request code reviews from
leandron opened a new pull request, #14116:
URL: https://github.com/apache/tvm/pull/14116
* This brings the update to Compute Library from v22.08 to v22.11
Validation was done in #14104.
cc @driazati @Mousius @areusch @neildhickey
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tvm-bot commented on PR #14115:
URL: https://github.com/apache/tvm/pull/14115#issuecomment-1443490018
Thanks for contributing to TVM! Please refer to the contributing guidelines
https://tvm.apache.org/docs/contribute/ for useful information and tips. Please
request code reviews from
Ubospica opened a new pull request, #14115:
URL: https://github.com/apache/tvm/pull/14115
Now IRPrinter prints `T.Var("n", "int64")` for tir Vars in Relax functions.
But in the new TVMScript syntax, it should be `T.int64()`.
This PR fixes this bug and updates tests in favor of the new
Author: leandron
Date: Fri Feb 24 10:36:13 2023
New Revision: 60315
Log:
Update KEYS
Added:
release/tvm/KEYS
- copied unchanged from r60314, dev/tvm/KEYS
Author: leandron
Date: Fri Feb 24 10:35:46 2023
New Revision: 60314
Log:
Update KEYS
Removed:
release/tvm/KEYS
Author: leandron
Date: Fri Feb 24 10:34:06 2023
New Revision: 60313
Log:
Update KEYS
Modified:
dev/tvm/KEYS
Modified: dev/tvm/KEYS
==
--- dev/tvm/KEYS (original)
+++ dev/tvm/KEYS Fri Feb 24 10:34:06 2023
@@ -523,3 +5
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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 4e03d85514 [Unity][BYOC]Add relax backend pattern reg
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