echuraev commented on code in PR #15683:
URL: https://github.com/apache/tvm/pull/15683#discussion_r1318118522
##
python/tvm/relay/frontend/pytorch.py:
##
@@ -4424,7 +4424,10 @@ def _create_typed_const(data, dtype):
dtype should be a TVM dtype"""
if dtype == "float64"
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github-bot pushed a change to branch nightly
in repository https://gitbox.apache.org/repos/asf/tvm.git
from d26fdcf3d1 [Hopper TMA] Add CUDA codegen support for bulk asynchronous
copy (#15656)
add ea388e5e74 [CI] Allow
LeshengJin commented on code in PR #15670:
URL: https://github.com/apache/tvm/pull/15670#discussion_r1318047379
##
python/tvm/relax/frontend/nn/spec.py:
##
@@ -59,6 +61,25 @@ def __repr__(self) -> str:
return f"Tensor([{shape}], '{self.dtype}')"
+class Tuple:
+"
LeshengJin commented on code in PR #15670:
URL: https://github.com/apache/tvm/pull/15670#discussion_r1318045540
##
python/tvm/relax/frontend/nn/spec.py:
##
@@ -59,6 +59,32 @@ def __repr__(self) -> str:
return f"Tensor([{shape}], '{self.dtype}')"
+class TupleList:
+
LeshengJin commented on code in PR #15670:
URL: https://github.com/apache/tvm/pull/15670#discussion_r1318045404
##
python/tvm/relax/frontend/nn/spec.py:
##
@@ -59,6 +59,32 @@ def __repr__(self) -> str:
return f"Tensor([{shape}], '{self.dtype}')"
+class TupleList:
+
LeshengJin commented on code in PR #15670:
URL: https://github.com/apache/tvm/pull/15670#discussion_r1318044932
##
python/tvm/relax/frontend/nn/core.py:
##
@@ -411,6 +412,10 @@ def jit( # pylint: disable=too-many-arguments
# Compile mod and feed it to VM
mod
jinhongyii commented on PR #15674:
URL: https://github.com/apache/tvm/pull/15674#issuecomment-1709407700
please review @junrushao @tqchen
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slyubomirsky commented on code in PR #15577:
URL: https://github.com/apache/tvm/pull/15577#discussion_r1317951627
##
tests/python/relax/test_bind_symbolic_vars.py:
##
@@ -183,6 +183,91 @@ def expected(A: R.Tensor(["M", 16])):
tvm.ir.assert_structural_equal(expected, after)
slyubomirsky opened a new pull request, #15689:
URL: https://github.com/apache/tvm/pull/15689
As part of #15319, this PR implements liveness analysis, which is
implemented using a dataflow analysis framework similar to that described by
Adrian Sampson in these lecture notes:
https://www.cs
Lunderberg commented on PR #15672:
URL: https://github.com/apache/tvm/pull/15672#issuecomment-1709137698
@ci-bot rerun
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Lunderberg opened a new pull request, #15688:
URL: https://github.com/apache/tvm/pull/15688
Prior to this commit, writing a subclass of `relax::ExprVisitor` or
`relax::ExprMutator` required separate overrides for visiting a
`relax::DataflowVar` and a `relax::Var`. In the majority of cases,
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junrushao 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 e1725ac01d [Unity][Dlight] Fallback rule supportin
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junrushao pushed a commit to branch unity
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The following commit(s) were added to refs/heads/unity by this push:
new f0869fecc4 [Unity][Dlight] Matmul rule on int32 wo
junrushao merged PR #15486:
URL: https://github.com/apache/tvm/pull/15486
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junrushao merged PR #15687:
URL: https://github.com/apache/tvm/pull/15687
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csullivan commented on PR #15626:
URL: https://github.com/apache/tvm/pull/15626#issuecomment-1708960891
Thanks @Lunderberg and @sunggg! This is merged.
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csullivan pushed a commit to branch unity
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The following commit(s) were added to refs/heads/unity by this push:
new ec4a8b3011 [Unity] Implement relax.Function.bind_p
csullivan merged PR #15626:
URL: https://github.com/apache/tvm/pull/15626
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csullivan pushed a commit to branch unity
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The following commit(s) were added to refs/heads/unity by this push:
new c5b7afc721 [Unity] Implemented BundleModelParams t
csullivan merged PR #15657:
URL: https://github.com/apache/tvm/pull/15657
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Lunderberg commented on PR #15627:
URL: https://github.com/apache/tvm/pull/15627#issuecomment-1708956357
Thank you for the detailed response, @tqchen.
I think my main concern is that there are several types of predictability,
depending on the specific audience.
1. As a develope
masahi merged PR #15671:
URL: https://github.com/apache/tvm/pull/15671
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masahi pushed a commit to branch main
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The following commit(s) were added to refs/heads/main by this push:
new 738c2e9e90 [VM][Adreno] Fix using buffers for weights i
Lunderberg commented on PR #15577:
URL: https://github.com/apache/tvm/pull/15577#issuecomment-1708887108
@Hzfengsy Thank you, and I do think the value should be a `tir.PrimExpr` and
not just a `tir.Var` for a few reasons.
* API consistency when applying `BindSymbolicVars`. When a fun
MasterJH5574 opened a new pull request, #15687:
URL: https://github.com/apache/tvm/pull/15687
This PR enhances the fallback dlight GPU rule so that it can support more
non-trivial spatial workloads.
Particularly, to this end, this PR makes the following changes:
* for function
cbalint13 commented on code in PR #15685:
URL: https://github.com/apache/tvm/pull/15685#discussion_r1317642603
##
src/target/llvm/llvm_module.cc:
##
@@ -45,6 +45,7 @@
#include
#include
#include
+#include "llvm/TargetParser/X86TargetParser.h"
Review Comment:
done.
--
junrushao commented on code in PR #15685:
URL: https://github.com/apache/tvm/pull/15685#discussion_r1317632043
##
src/target/llvm/llvm_module.cc:
##
@@ -45,6 +45,7 @@
#include
#include
#include
+#include "llvm/TargetParser/X86TargetParser.h"
Review Comment:
nit: style
Lunderberg commented on PR #15646:
URL: https://github.com/apache/tvm/pull/15646#issuecomment-1708824478
@ci-bot rerun
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junrushao commented on code in PR #15673:
URL: https://github.com/apache/tvm/pull/15673#discussion_r1317585783
##
src/runtime/disco/loader.cc:
##
@@ -187,5 +231,16 @@ TVM_REGISTER_GLOBAL("runtime.disco.ShardLoaderLoad")
return loader->Load(IntegerFromShapeTuple(weight_ind
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tqchen pushed a change to branch unity
in repository https://gitbox.apache.org/repos/asf/tvm.git
omit e5a4437413 [Unity][MSC][M0.4 && M0.5] Codegen && Test (#15645)
add ac99367aa4 [Relay] [Bugfix] Fix some bugs of domin
ibsidorenko opened a new pull request, #15686:
URL: https://github.com/apache/tvm/pull/15686
This commit adds 2 new Relax ops:
1. "relax.op.smooth" (R.smooth): Multiply elements from a tensor by a scale
(if it operates like "multiply") or pass input as is (if it operates like
"identity")
ashutosh-arm closed pull request #15641: [DO_NOT_MERGE][Flaky][CI] Disable
flaky autotvm test test_multi_filter
URL: https://github.com/apache/tvm/pull/15641
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ashutosh-arm closed issue #15611: [Flaky Test]
`tests/python/unittest/test_autotvm_droplet_tuner.py::test_multi_filter`
URL: https://github.com/apache/tvm/issues/15611
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U
lhutton1 commented on issue #12567:
URL: https://github.com/apache/tvm/issues/12567#issuecomment-1708592870
Hi @gessha, I suspect you need to build tvm with LLVM support. Can you try
adding something like the following to config.cmake:
```
set(USE_LLVM llvm-config-16)
```
and the
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tqchen pushed a commit to branch unity-staging
in repository https://gitbox.apache.org/repos/asf/tvm.git
The following commit(s) were added to refs/heads/unity-staging by this push:
new 3b6a788d77 Fix after merge
3b6a788d77
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tqchen pushed a commit to branch unity-staging
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commit 90c64c6dcebb11a0526107b62ea408e06d928960
Merge: 37ad0497fe 1e6e2b35ae
Author: tqchen
AuthorDate: Wed Sep 6 10:45:29
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tqchen pushed a change to branch unity-staging
in repository https://gitbox.apache.org/repos/asf/tvm.git
from 6c38001fe1 [MERGE] Merge main into unity 2023-08-04
add 9fb191159f [Unity] Commutative pattern match based on
haoyang9804 commented on PR #15683:
URL: https://github.com/apache/tvm/pull/15683#issuecomment-1708513363
cc @vvchernov @echuraev
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cbalint13 opened a new pull request, #15685:
URL: https://github.com/apache/tvm/pull/15685
Hi folks,
This PR leverage **LLVM** itself for CPU features lookup, **replacing
hard-coded** lists.
In order to keep maintainability with X86 families & features we can rely on
LLVM itself.
adstraw opened a new pull request, #15684:
URL: https://github.com/apache/tvm/pull/15684
This PR adds an intrinsic to create barriers that can be used with existing
barrier intrinsics for synchronization. The prior method of barrier allocation
was to use `alloc_buffer` e.g. as follows `bar
lhutton1 commented on PR #15667:
URL: https://github.com/apache/tvm/pull/15667#issuecomment-1708449510
Thanks @ashutosh-arm!
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lhutton1 merged PR #15667:
URL: https://github.com/apache/tvm/pull/15667
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lukhut pushed a commit to branch main
in repository https://gitbox.apache.org/repos/asf/tvm.git
The following commit(s) were added to refs/heads/main by this push:
new 5d3f3dd644 [microTVM] Check the output of microNPU demo
Hzfengsy commented on PR #15645:
URL: https://github.com/apache/tvm/pull/15645#issuecomment-1708398787
Thanks @Archermmt!
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T
Hzfengsy merged PR #15645:
URL: https://github.com/apache/tvm/pull/15645
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tqchen commented on PR #15577:
URL: https://github.com/apache/tvm/pull/15577#issuecomment-1708294750
cc @junrushao @Hzfengsy
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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 35164b379f [Module] Implement custom imported modules s
tqchen merged PR #15666:
URL: https://github.com/apache/tvm/pull/15666
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haoyang9804 commented on issue #15282:
URL: https://github.com/apache/tvm/issues/15282#issuecomment-1708279654
Update:
In the above analysis, I summarize that `float64` in `InstanceNormRel`
should be `Tensor[(1), float64]`. Seems this scala type is from
`_create_typed_const` function
youxiudeshouyeren commented on PR #15682:
URL: https://github.com/apache/tvm/pull/15682#issuecomment-1708277499
Code Review: @Hzfengsy @junrushao @Lunderberg Thanks!
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youxiudeshouyeren opened a new pull request, #15682:
URL: https://github.com/apache/tvm/pull/15682
When I specify the ReLU6 activation function in yolov5， This redundancy
occurs.
For example:
tlopex opened a new pull request, #15681:
URL: https://github.com/apache/tvm/pull/15681
The commit enables convert_square function for the quantized tensor. The op
SQUARE can be tested by previous testing.
cc @leandron
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tqchen commented on PR #15627:
URL: https://github.com/apache/tvm/pull/15627#issuecomment-1708210343
Thanks @Lunderberg , let me elaborate a bit since this is indeed a design
tradeoff here. There are a few factors that goes into this
- (a) overall readability and predictability of the cod
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tqchen pushed a commit to branch main
in repository https://gitbox.apache.org/repos/asf/tvm.git
The following commit(s) were added to refs/heads/main by this push:
new 1e6e2b35ae [BugFix][Arith] IterMapRewriter abort rewrit
tqchen merged PR #15677:
URL: https://github.com/apache/tvm/pull/15677
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haoyang9804 commented on issue #15282:
URL: https://github.com/apache/tvm/issues/15282#issuecomment-1708161759
Here is my analysis after carefully reading the source code.
Function `InstanceNormRel` in `relay/op/nn/nn.cc` defines `instance_norm`'s
type constraints.
In `InstanceNormRel`
chunit-quic commented on PR #13728:
URL: https://github.com/apache/tvm/pull/13728#issuecomment-1707891633
Hi @xiaolong18
Thank you for your information. Currently we are doing some urgent projects,
and perhaps we can only get back to here at the end of October.
But we might gi
lhutton1 commented on code in PR #15667:
URL: https://github.com/apache/tvm/pull/15667#discussion_r1316903804
##
tests/scripts/task_demo_microtvm.sh:
##
@@ -34,6 +40,18 @@ FVP_PATH="/opt/arm/FVP_Corstone_SSE-300_Ethos-U55"
CMAKE_PATH="/opt/arm/cmake/bin/cmake"
FREERTOS_PATH="/
LeshengJin opened a new pull request, #15680:
URL: https://github.com/apache/tvm/pull/15680
This pr introduces op scatter_from_worker0, which performs a scatter
operation from worker-0, chunking the given buffer into equal parts.
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rutkoor opened a new pull request, #15679:
URL: https://github.com/apache/tvm/pull/15679
This patch adds support for non-bijective transformations in alter-op-impl
pass. The idea is to introduce remove_pad operator, which copies non-padded
buffer entries from padded_buffer. This additional
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