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junrushao pushed a change to branch main
in repository https://gitbox.apache.org/repos/asf/tvm.git
from ce8ac3e784 [TIR] Allow missing TensorIntrin in registry lookup (#12875)
add 9ce95a9abe [TIR] Fix wmma index in
junrushao merged PR #12879:
URL: https://github.com/apache/tvm/pull/12879
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junrushao pushed a change to branch main
in repository https://gitbox.apache.org/repos/asf/tvm.git
from 0b074d8f06 Fix clang warnings (#12876)
add ce8ac3e784 [TIR] Allow missing TensorIntrin in registry lookup (#12875)
junrushao merged PR #12875:
URL: https://github.com/apache/tvm/pull/12875
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DzAvril opened a new pull request, #12881:
URL: https://github.com/apache/tvm/pull/12881
```c++
Module GraphExecutorFactory::ExecutorCreate(const std::vector& devs)
{
auto exec = make_object();
exec->Init(this->graph_json_, this->imports_[0], devs, PackedFunc());
// set
github-actions[bot] commented on PR #12880:
URL: https://github.com/apache/tvm/pull/12880#issuecomment-1255742179
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
areusch commented on PR #12880:
URL: https://github.com/apache/tvm/pull/12880#issuecomment-1255740385
NOTE: sending this through CI to see what I broke, then will add tests.
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areusch opened a new pull request, #12880:
URL: https://github.com/apache/tvm/pull/12880
* Fixes cases where a USMP buffer is used with tensorization intrinsics. In
these cases, the buffer data var is referenced directly in the call_extern args.
Before this patch,
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from 4e783a6087 [TOPI] Add layer norm operator (#12864)
add 0b074d8f06 Fix clang warnings (#12876)
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github-bot pushed a change to branch nightly-docker-update
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omit 4671a5743b [ci][docker] Nightly Docker image update
add 39f71ae288 [frontend][pytorch] Add a new
vinx13 opened a new pull request, #12879:
URL: https://github.com/apache/tvm/pull/12879
There are some corner cases `get_wmma_fragment_index` returns wrong result
when the size of shared memory is large. In practice, such case usually won't
happen because the size of the shared memory is
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from 195ae72b5c [TOPI] Fix dtype legalize logic for CPU dot product
instruction (#12865)
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junrushao merged PR #12876:
URL: https://github.com/apache/tvm/pull/12876
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junrushao pushed a change to branch main
in repository https://gitbox.apache.org/repos/asf/tvm.git
from 4e783a6087 [TOPI] Add layer norm operator (#12864)
add 0b074d8f06 Fix clang warnings (#12876)
No new revisions
tmoreau89 commented on PR #12877:
URL: https://github.com/apache/tvm/pull/12877#issuecomment-1255566577
CC @Lunderberg @areusch @masahi
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mehrdadh commented on code in PR #12818:
URL: https://github.com/apache/tvm/pull/12818#discussion_r978098988
##
apps/microtvm/arduino/template_project/microtvm_api_server.py:
##
@@ -313,7 +297,90 @@ def _find_modified_include_path(self, project_dir,
file_path, include_path):
mehrdadh commented on code in PR #12818:
URL: https://github.com/apache/tvm/pull/12818#discussion_r978098147
##
apps/microtvm/arduino/template_project/microtvm_api_server.py:
##
@@ -313,7 +297,90 @@ def _find_modified_include_path(self, project_dir,
file_path, include_path):
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areusch pushed a commit to branch areusch/fix-retry-main
in repository https://gitbox.apache.org/repos/asf/tvm.git
commit efbff7ad7fcc34d3af00857381511ce003939494
Author: Andrew Reusch
AuthorDate: Thu Sep 22 14:23:25 2022 -0700
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areusch pushed a change to branch areusch/fix-retry-main
in repository https://gitbox.apache.org/repos/asf/tvm.git
at efbff7ad7f git_init before Deploy to get retry.sh.
This branch includes the following new commits:
areusch opened a new issue, #12878:
URL: https://github.com/apache/tvm/issues/12878
See
https://ci.tlcpack.ai/blue/organizations/jenkins/tvm/detail/main/4345/pipeline
Looks like #12773 made it necessary to checkout the repo into the post-build
steps. PR to follow.
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from fe75f00991 [AutoTVM] Introducing multi_filter into ConfigSpace autotvm
(#12545)
add 195ae72b5c [TOPI]
slyubomirsky commented on PR #12682:
URL: https://github.com/apache/tvm/pull/12682#issuecomment-1255542976
Hm, some of the builds still use different versions of CMake. Any pointers
on where the CMake versions for those are defined? I would be glad to make the
changes myself.
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alanmacd commented on code in PR #12851:
URL: https://github.com/apache/tvm/pull/12851#discussion_r978078873
##
include/tvm/runtime/crt/rpc_common/write_stream.h:
##
@@ -29,6 +29,7 @@
#include
#include
#include
+#include
Review Comment:
@mkatanbaf @areusch I moved
kparzysz-quic opened a new pull request, #12877:
URL: https://github.com/apache/tvm/pull/12877
For conversions between `_Float16` and `float`, LLVM uses runtime functions
`__extendhfsf2` and `__truncsfhf2`. On X86 up until version 14, LLVM used
`uint16_t` for representing `_Float16`.
vinx13 merged PR #12864:
URL: https://github.com/apache/tvm/pull/12864
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wuwei pushed a change to branch main
in repository https://gitbox.apache.org/repos/asf/tvm.git
from 86f9580498 [Relay] Fix handling of TransfromLayout in TE compiler
cache (#12874)
add 4e783a6087 [TOPI] Add layer norm
vinx13 commented on code in PR #12864:
URL: https://github.com/apache/tvm/pull/12864#discussion_r978051047
##
python/tvm/topi/nn/__init__.py:
##
@@ -38,6 +38,7 @@
from .bnn import *
from .qnn import *
from .upsampling import *
+from .layer_norm import layer_norm
Review
vinx13 merged PR #12874:
URL: https://github.com/apache/tvm/pull/12874
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wuwei pushed a change to branch main
in repository https://gitbox.apache.org/repos/asf/tvm.git
from 195ae72b5c [TOPI] Fix dtype legalize logic for CPU dot product
instruction (#12865)
add 86f9580498 [Relay] Fix
areusch commented on code in PR #12818:
URL: https://github.com/apache/tvm/pull/12818#discussion_r978035114
##
apps/microtvm/arduino/template_project/microtvm_api_server.py:
##
@@ -313,7 +297,90 @@ def _find_modified_include_path(self, project_dir,
file_path, include_path):
zxybazh commented on PR #12866:
URL: https://github.com/apache/tvm/pull/12866#issuecomment-1255484956
Hi YJ, I think this applies to all the ipython kernel based interface, yet I
only tested on jupyter notebook. On the other hand we have progress as
percentage available now so I'm not
mbrookhart commented on issue #12707:
URL: https://github.com/apache/tvm/issues/12707#issuecomment-1255479227
Hi @honghuichao. I'm way behind on this, I think I see a fix.
I did special handling for quantize and dequantize in the
shingjan commented on issue #12651:
URL: https://github.com/apache/tvm/issues/12651#issuecomment-1255424901
+1
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junrushao commented on PR #12874:
URL: https://github.com/apache/tvm/pull/12874#issuecomment-1255420160
Agreed. Perhaps on this particular case the test is not required
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junrushao commented on PR #12875:
URL: https://github.com/apache/tvm/pull/12875#issuecomment-1255419263
Got it! Can we add a simple test where the intrin name is missing?
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vinx13 commented on PR #12874:
URL: https://github.com/apache/tvm/pull/12874#issuecomment-1255419272
it's hard to test without running e2e. alternatively we can get lookup inst
trait registey to get num attrs
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vinx13 commented on PR #12875:
URL: https://github.com/apache/tvm/pull/12875#issuecomment-1255417572
One use case is check if tensor interns exists, it will allow further
automation like generate tensor intrins if missing
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junrushao commented on code in PR #12875:
URL: https://github.com/apache/tvm/pull/12875#discussion_r977974861
##
include/tvm/tir/function.h:
##
@@ -233,10 +233,13 @@ class TensorIntrin : public ObjectRef {
/*!
* \brief Look up TensorIntrin by name. Raises an exception if
junrushao commented on code in PR #12875:
URL: https://github.com/apache/tvm/pull/12875#discussion_r977975093
##
python/tvm/tir/function.py:
##
@@ -228,20 +228,24 @@ def register(name: str, desc: PrimFunc, impl: PrimFunc):
return _ffi_api.TensorIntrinRegister(name,
junrushao commented on PR #12875:
URL: https://github.com/apache/tvm/pull/12875#issuecomment-1255408219
Would you like to provide some context BTW? like, in which cases do we allow
it missing?
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vinx13 opened a new pull request, #12876:
URL: https://github.com/apache/tvm/pull/12876
cc @junrushao
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tkonolige pushed a change to branch main
in repository https://gitbox.apache.org/repos/asf/tvm.git
from fe75f00991 [AutoTVM] Introducing multi_filter into ConfigSpace autotvm
(#12545)
add 195ae72b5c [TOPI] Fix dtype
tkonolige merged PR #12865:
URL: https://github.com/apache/tvm/pull/12865
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vinx13 opened a new pull request, #12875:
URL: https://github.com/apache/tvm/pull/12875
Added an option to allow missing tensor intrin.
cc @junrushao @spectrometerHBH
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shingjan commented on PR #12866:
URL: https://github.com/apache/tvm/pull/12866#issuecomment-1255370680
This seems super useful. Do we want to extends this functionality to
non-jupyter notebook? Essentially what I have in mind is that we can update the
table & process bar and omit all other
zxybazh commented on PR #12866:
URL: https://github.com/apache/tvm/pull/12866#issuecomment-1255333056
@tvm-bot rerun
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andrewzhaoluo pushed a commit to branch v0.10.0
in repository https://gitbox.apache.org/repos/asf/tvm.git
The following commit(s) were added to refs/heads/v0.10.0 by this push:
new 5328c6bf77 [Hybrid] Fix sys version check
vinx13 opened a new pull request, #12874:
URL: https://github.com/apache/tvm/pull/12874
Because of recent updates `TransformLayout` now has 4 attrs.
https://github.com/apache/tvm/blob/main/src/tir/schedule/primitive/layout_transformation.cc#L1348
cc @junrushao
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alanmacd commented on PR #12851:
URL: https://github.com/apache/tvm/pull/12851#issuecomment-1255298527
@tvm-bot rerun
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tkonolige commented on code in PR #12865:
URL: https://github.com/apache/tvm/pull/12865#discussion_r977853794
##
tests/python/relay/test_op_level2.py:
##
@@ -2137,5 +2137,80 @@ def get_subgraph(dtype):
np.testing.assert_allclose(out, ref, rtol=1e-5, atol=1e-5)
areusch commented on code in PR #12691:
URL: https://github.com/apache/tvm/pull/12691#discussion_r977856513
##
src/te/schedule/schedule_lang.cc:
##
@@ -200,7 +200,7 @@ Stage& Stage::env_threads(Array threads) {
ICHECK_EQ(self->env_threads.size(), 0U) << "Already set
tkonolige commented on code in PR #12865:
URL: https://github.com/apache/tvm/pull/12865#discussion_r977853794
##
tests/python/relay/test_op_level2.py:
##
@@ -2137,5 +2137,80 @@ def get_subgraph(dtype):
np.testing.assert_allclose(out, ref, rtol=1e-5, atol=1e-5)
Lunderberg commented on PR #12691:
URL: https://github.com/apache/tvm/pull/12691#issuecomment-1255253699
Rebased onto main, as https://github.com/apache/tvm/pull/12692 also needed
and implemented the same type-checking structs, which makes this PR much
smaller.
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tkonolige commented on issue #12858:
URL: https://github.com/apache/tvm/issues/12858#issuecomment-1255234586
I'm fine with adding a flag to disable the warmup iteration, but warmup
iterations should be on by default. On CUDA, the first run on the model is very
slow due to lazy
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from 39f71ae288 [frontend][pytorch] Add a new test case for torch
aten::fill_ operator implementation (#12857)
juda commented on PR #12318:
URL: https://github.com/apache/tvm/pull/12318#issuecomment-1255006044
Hi @masahi , I polished the tutorial according to your feedback, could you
please read it one more time?
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elvin-n commented on code in PR #12833:
URL: https://github.com/apache/tvm/pull/12833#discussion_r977607079
##
tests/python/relay/opencl_texture/test_conv2d_nchw_texture.py:
##
@@ -577,7 +577,6 @@ def test_residual_block(target, dtype):
"global.texture-weight",
chengven027-intellif opened a new pull request, #12872:
URL: https://github.com/apache/tvm/pull/12872
Hi, tvm:
Sorry,there is another operator `aten::zero_` just discovered that needs
to be reviewed.
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lhutton1 commented on issue #12858:
URL: https://github.com/apache/tvm/issues/12858#issuecomment-1254866832
Hi @f2013519, I submitted #12713 which makes sure the module is only run
once when the user is _not_ worried about benchmarking so wanted to share some
of my findings here. I also
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masahi pushed a change to branch main
in repository https://gitbox.apache.org/repos/asf/tvm.git
from 39f71ae288 [frontend][pytorch] Add a new test case for torch
aten::fill_ operator implementation (#12857)
add
masahi merged PR #12545:
URL: https://github.com/apache/tvm/pull/12545
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github-bot pushed a change to branch last-successful
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from 7aef584c0f [Hybrid] Fix sys version check (#12837)
add 39f71ae288 [frontend][pytorch] Add a new test
elvin-n commented on PR #12545:
URL: https://github.com/apache/tvm/pull/12545#issuecomment-1254824500
can we merge this PR into main?
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masahi closed issue #12870: multi-backends solution
URL: https://github.com/apache/tvm/issues/12870
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masahi commented on issue #12870:
URL: https://github.com/apache/tvm/issues/12870#issuecomment-1254740865
Please post such question to the discuss forum.
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masahi closed issue #12844: [Bug][Frontend][PyTorch] Bug in the aten::fill_()
PyTorch operator implementation?
URL: https://github.com/apache/tvm/issues/12844
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chayliu1991 opened a new issue, #12870:
URL: https://github.com/apache/tvm/issues/12870
There are multi-backends in my platform,include arm cpu+mali gpu+different
npus.
Can I use tvm to dynamic scheduling different backend?
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sfvaroglu commented on PR #12869:
URL: https://github.com/apache/tvm/pull/12869#issuecomment-1254710003
The roi_align test passes locally when using `onnx==1.12.0` and
`onnxruntime==1.12.1`, but it looks like CI is failing with
`onnxruntime.capi.onnxruntime_pybind11_state.InvalidGraph:
f2013519 commented on issue #12858:
URL: https://github.com/apache/tvm/issues/12858#issuecomment-1254694090
Also with --number=0, we get the below warning:
/usr/local/lib/python3.7/dist-packages/numpy/core/_methods.py:202:
RuntimeWarning: invalid value encountered in subtract x =
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masahi pushed a change to branch main
in repository https://gitbox.apache.org/repos/asf/tvm.git
from 7aef584c0f [Hybrid] Fix sys version check (#12837)
add 39f71ae288 [frontend][pytorch] Add a new test case for torch
masahi merged PR #12857:
URL: https://github.com/apache/tvm/pull/12857
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sfvaroglu commented on PR #12869:
URL: https://github.com/apache/tvm/pull/12869#issuecomment-1254585495
@leandron @driazati
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sfvaroglu opened a new pull request, #12869:
URL: https://github.com/apache/tvm/pull/12869
RoiAlign-16 introduces `coordinate_transformation_mode`, which should be set
to 'output_half_pixel' to omit the pixel shift for the input (for a
backward-compatible behavior). This PR should fix the
Aympab opened a new pull request, #12868:
URL: https://github.com/apache/tvm/pull/12868
Following [this discussion](
https://discuss.tvm.apache.org/t/error-using-vm-to-profile-downcast-from-runtime-adt-to-runtime-ndarray-failed/13557/2)
from apache TVM discuss forums
The code of the
Suhong-Lee closed pull request #12867: Lwc
URL: https://github.com/apache/tvm/pull/12867
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