YuchenJin commented on pull request #8825:
URL: https://github.com/apache/tvm/pull/8825#issuecomment-906071746
Thank you @adstraw for your good work to improve this tutorial!
As a side note, this tutorial and [Working with Operators Using Tensor
YuchenJin commented on a change in pull request #8825:
URL: https://github.com/apache/tvm/pull/8825#discussion_r696266194
##
File path: tutorials/optimize/opt_gemm.py
##
@@ -293,23 +300,26 @@
# Allocate write cache
CC = s.cache_write(C, "global")
-xo, yo, xi, yi =
elvin-n commented on a change in pull request #8793:
URL: https://github.com/apache/tvm/pull/8793#discussion_r696265207
##
File path: tests/python/unittest/test_runtime_module_based_interface.py
##
@@ -90,6 +90,25 @@ def test_cpu():
tvm.testing.assert_allclose(out,
csullivan commented on a change in pull request #8823:
URL: https://github.com/apache/tvm/pull/8823#discussion_r696264693
##
File path: python/tvm/target/target.py
##
@@ -413,79 +413,118 @@ def bifrost(model="unknown", options=None):
return Target(" ".join(["opencl"] +
Meteorix commented on pull request #25:
URL: https://github.com/apache/tvm-rfcs/pull/25#issuecomment-906066691
> Is this supposed to be useful for accelerating PyTorch training?
From my perspective, we are a little far from supporting PyTorch training. I
can think of 2 possible
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commit 68c255c7a45a71bfe7ff505a94f6db459b7b5847
Author: Chenfan
AuthorDate: Thu Aug 26 11:15:07 2021 +0800
Update
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FrozenGene commented on a change in pull request #8808:
URL: https://github.com/apache/tvm/pull/8808#discussion_r696234249
##
File path: src/runtime/contrib/tensorrt/tensorrt_runtime.cc
##
@@ -66,7 +78,16 @@ class TensorRTRuntime : public JSONRuntimeBase {
FrozenGene commented on a change in pull request #8808:
URL: https://github.com/apache/tvm/pull/8808#discussion_r696234249
##
File path: src/runtime/contrib/tensorrt/tensorrt_runtime.cc
##
@@ -66,7 +78,16 @@ class TensorRTRuntime : public JSONRuntimeBase {
jcf94 commented on a change in pull request #8808:
URL: https://github.com/apache/tvm/pull/8808#discussion_r696218247
##
File path: src/runtime/contrib/tensorrt/tensorrt_runtime.cc
##
@@ -125,17 +147,26 @@ class TensorRTRuntime : public JSONRuntimeBase {
/*! \brief Run
AndrewZhaoLuo commented on pull request #8850:
URL: https://github.com/apache/tvm/pull/8850#issuecomment-906011467
It actually failed 1/1000 times... Bumped up again and now 1000 runs pass
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jcf94 commented on a change in pull request #8808:
URL: https://github.com/apache/tvm/pull/8808#discussion_r696218247
##
File path: src/runtime/contrib/tensorrt/tensorrt_runtime.cc
##
@@ -125,17 +147,26 @@ class TensorRTRuntime : public JSONRuntimeBase {
/*! \brief Run
jcf94 commented on a change in pull request #8808:
URL: https://github.com/apache/tvm/pull/8808#discussion_r696218247
##
File path: src/runtime/contrib/tensorrt/tensorrt_runtime.cc
##
@@ -125,17 +147,26 @@ class TensorRTRuntime : public JSONRuntimeBase {
/*! \brief Run
jcf94 commented on a change in pull request #8808:
URL: https://github.com/apache/tvm/pull/8808#discussion_r696225637
##
File path: src/runtime/contrib/tensorrt/tensorrt_runtime.cc
##
@@ -66,7 +78,16 @@ class TensorRTRuntime : public JSONRuntimeBase {
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from 0648fff [BUG] ToBasicBlockNormalForm immutability (#8778)
add f1ca91d [GRAPH EXECUTOR,VM] Add benchmarking
jwfromm merged pull request #8807:
URL: https://github.com/apache/tvm/pull/8807
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jcf94 commented on a change in pull request #8808:
URL: https://github.com/apache/tvm/pull/8808#discussion_r696218247
##
File path: src/runtime/contrib/tensorrt/tensorrt_runtime.cc
##
@@ -125,17 +147,26 @@ class TensorRTRuntime : public JSONRuntimeBase {
/*! \brief Run
jcf94 commented on a change in pull request #8808:
URL: https://github.com/apache/tvm/pull/8808#discussion_r696218247
##
File path: src/runtime/contrib/tensorrt/tensorrt_runtime.cc
##
@@ -125,17 +147,26 @@ class TensorRTRuntime : public JSONRuntimeBase {
/*! \brief Run
tmoreau89 commented on a change in pull request #8823:
URL: https://github.com/apache/tvm/pull/8823#discussion_r696212695
##
File path: python/tvm/target/target.py
##
@@ -413,79 +413,118 @@ def bifrost(model="unknown", options=None):
return Target(" ".join(["opencl"] +
shingjan commented on pull request #8851:
URL: https://github.com/apache/tvm/pull/8851#issuecomment-905979559
@vinx13 just moved all testing utility functions of autotvm to
`tvm.testing`. About `LocalFuture` and `LocalExecutor`, they do seem very much
like `PopenPoolExecutor` now. Maybe
tmoreau89 commented on pull request #8825:
URL: https://github.com/apache/tvm/pull/8825#issuecomment-905976858
Also @were and @yuruofeifei who were the original authors of the tutorial
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tmoreau89 commented on a change in pull request #8825:
URL: https://github.com/apache/tvm/pull/8825#discussion_r696207834
##
File path: tutorials/optimize/opt_gemm.py
##
@@ -293,23 +300,26 @@
# Allocate write cache
CC = s.cache_write(C, "global")
-xo, yo, xi, yi =
tmoreau89 commented on a change in pull request #8825:
URL: https://github.com/apache/tvm/pull/8825#discussion_r696207437
##
File path: tutorials/optimize/opt_gemm.py
##
@@ -335,24 +345,27 @@
CC = s.cache_write(C, "global")
-xo, yo, xi, yi = s[C].tile(C.op.axis[0],
tmoreau89 commented on a change in pull request #8825:
URL: https://github.com/apache/tvm/pull/8825#discussion_r696207278
##
File path: tutorials/optimize/opt_gemm.py
##
@@ -227,43 +228,49 @@
vinx13 edited a comment on pull request #8851:
URL: https://github.com/apache/tvm/pull/8851#issuecomment-905971689
Similar to the fix you did for auto scheduler, `test_autotvm_executor` is
not really a module and it shouldn't be imported. Anything common for tests
should probably be moved
tmoreau89 commented on a change in pull request #8825:
URL: https://github.com/apache/tvm/pull/8825#discussion_r696206314
##
File path: tutorials/optimize/opt_gemm.py
##
@@ -293,23 +300,26 @@
# Allocate write cache
CC = s.cache_write(C, "global")
-xo, yo, xi, yi =
tmoreau89 commented on a change in pull request #8825:
URL: https://github.com/apache/tvm/pull/8825#discussion_r696206243
##
File path: tutorials/optimize/opt_gemm.py
##
@@ -227,43 +228,49 @@
vinx13 commented on pull request #8851:
URL: https://github.com/apache/tvm/pull/8851#issuecomment-905971689
Similar to the fix you did for auto scheduler, `test_autotvm_executor` is
not really a module and it shouldn't be imported. Anything common for tests
should probably be moved to
shingjan edited a comment on pull request #8851:
URL: https://github.com/apache/tvm/pull/8851#issuecomment-905970632
Author's note:
1. There is a weird `ModuleNotFoundError: No module named
'test_autotvm_executor'` during the execution of `test_autotvm_executor.py`.
Still working
shingjan commented on pull request #8851:
URL: https://github.com/apache/tvm/pull/8851#issuecomment-905970632
1. There is a weird `ModuleNotFoundError: No module named
'test_autotvm_executor'` during the execution of `test_autotvm_executor.py`.
Still working on a fix.
2. The
shingjan opened a new pull request #8851:
URL: https://github.com/apache/tvm/pull/8851
This PR intends to replace `multiprocessing.pool` with `popenpool` in
`autotvm/local_executor`.
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mbs-octoml commented on pull request #8423:
URL: https://github.com/apache/tvm/pull/8423#issuecomment-905945252
Ah, I think I see why -- #8849 (or parent thereof) bypasses LowerTE in
favor of it's own transformation which calls out to compile_engine.py directly.
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mbs-octoml commented on pull request #8423:
URL: https://github.com/apache/tvm/pull/8423#issuecomment-905940632
I've started looking at #8849 and was surprised it's not depending on this
extension point. I must have missed something? Anything I can do to help this
one along?
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junrushao1994 commented on pull request #8850:
URL: https://github.com/apache/tvm/pull/8850#issuecomment-905936211
Would you mind running the tests for like 1k times using pytest-repeat and
make sure the test is not flaky?
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junrushao pushed a change to branch main
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from 4a9b5b5 Update CI Lint Image Version (#8841)
add 0648fff [BUG] ToBasicBlockNormalForm immutability (#8778)
No
junrushao1994 commented on pull request #8778:
URL: https://github.com/apache/tvm/pull/8778#issuecomment-905920923
Finally the CI is green!
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junrushao1994 merged pull request #8778:
URL: https://github.com/apache/tvm/pull/8778
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trevor-m commented on a change in pull request #8808:
URL: https://github.com/apache/tvm/pull/8808#discussion_r695107832
##
File path: src/runtime/contrib/tensorrt/tensorrt_builder.cc
##
@@ -238,14 +253,15 @@ void TensorRTBuilder::CleanUp() {
#endif
builder_->destroy();
tqchen edited a comment on pull request #8847:
URL: https://github.com/apache/tvm/pull/8847#issuecomment-905909951
I think it was due to the fact that we are designing the Module to look like
a mutable interface while in nature we want something immutable. As a result
some of the passes
tqchen commented on pull request #8847:
URL: https://github.com/apache/tvm/pull/8847#issuecomment-905909951
I think it was due to the fact that we are designing the Module to look like
a mutable interface while in nature we want something immutable. As a result
some of the passes are
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moreau pushed a change to branch main
in repository https://gitbox.apache.org/repos/asf/tvm.git.
from 5a6b75d [Pre-commit] Add pre-commit configuration to perform minimal
checks locally (#8382)
add 4a9b5b5 Update CI
tmoreau89 merged pull request #8841:
URL: https://github.com/apache/tvm/pull/8841
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csullivan commented on a change in pull request #8823:
URL: https://github.com/apache/tvm/pull/8823#discussion_r696091607
##
File path: python/tvm/target/target.py
##
@@ -413,79 +413,118 @@ def bifrost(model="unknown", options=None):
return Target(" ".join(["opencl"] +
AndrewZhaoLuo commented on pull request #8850:
URL: https://github.com/apache/tvm/pull/8850#issuecomment-905827889
@masahi
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AndrewZhaoLuo opened a new pull request #8850:
URL: https://github.com/apache/tvm/pull/8850
https://ci.tlcpack.ai/blue/organizations/jenkins/tvm/detail/PR-8810/3/pipeline
<-- flakiness here
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mbs-octoml commented on pull request #8835:
URL: https://github.com/apache/tvm/pull/8835#issuecomment-905810621
I'm fine with 1, and in the future:
4. Ensure all Targets are created at the top level and shared throughout the
code rather than created on-the-fly for various 'default'
guberti commented on pull request #8748:
URL: https://github.com/apache/tvm/pull/8748#issuecomment-905798037
Thanks for the second round of comments Mehrdad! They should be addressed by
32882c4.
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guberti commented on a change in pull request #8748:
URL: https://github.com/apache/tvm/pull/8748#discussion_r696031380
##
File path: apps/microtvm/reference-vm/arduino/Vagrantfile
##
@@ -0,0 +1,66 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more
guberti commented on a change in pull request #8748:
URL: https://github.com/apache/tvm/pull/8748#discussion_r695902185
##
File path: apps/microtvm/reference-vm/base-box-tool.py
##
@@ -439,26 +473,27 @@ def parse_args():
"--provider",
choices=ALL_PROVIDERS,
guberti commented on a change in pull request #8748:
URL: https://github.com/apache/tvm/pull/8748#discussion_r695902185
##
File path: apps/microtvm/reference-vm/base-box-tool.py
##
@@ -439,26 +473,27 @@ def parse_args():
"--provider",
choices=ALL_PROVIDERS,
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tqchen pushed a change to branch main
in repository https://gitbox.apache.org/repos/asf/tvm.git.
from a31ebf7 [Hexagon] Reuse Hexagon SDK analysis across cmake files
(#8822)
add 5a6b75d [Pre-commit] Add pre-commit
tqchen commented on pull request #8382:
URL: https://github.com/apache/tvm/pull/8382#issuecomment-905781697
Thanks @mikepapadim ! This is now merged
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tqchen merged pull request #8382:
URL: https://github.com/apache/tvm/pull/8382
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comaniac commented on a change in pull request #8497:
URL: https://github.com/apache/tvm/pull/8497#discussion_r696007010
##
File path: tests/cpp/build_module_test.cc
##
@@ -199,3 +199,129 @@ TEST(BuildModule, Heterogeneous) {
ICHECK_LT(std::fabs(p_out[i] - (i + (i + 1.0)
jverma-quic commented on a change in pull request #8773:
URL: https://github.com/apache/tvm/pull/8773#discussion_r695992594
##
File path: python/tvm/relay/frontend/onnx.py
##
@@ -3279,6 +3279,40 @@ def get_scalar(x, dtype="float32"):
return _qnn.op.quantize(out,
kparzysz-quic commented on a change in pull request #8823:
URL: https://github.com/apache/tvm/pull/8823#discussion_r695984580
##
File path: python/tvm/target/target.py
##
@@ -413,79 +413,118 @@ def bifrost(model="unknown", options=None):
return Target(" ".join(["opencl"]
manupa-arm opened a new pull request #8849:
URL: https://github.com/apache/tvm/pull/8849
This commit integrates the codegen for Arm® Ethos™-U.
* Adding Conv2D tests and a mobilenet_v1 conv2d offload test.
This PR is blocked on merging #8795 , #8806 and #8811. Since this is built
junrushao1994 commented on pull request #8835:
URL: https://github.com/apache/tvm/pull/8835#issuecomment-905745045
Hey Lily, I could imagine there are tons of challenges here and thank you
for the really hard work!
I feel like option 1 might be the most convenient way we could go
zxybazh removed a comment on pull request #8823:
URL: https://github.com/apache/tvm/pull/8823#issuecomment-905732933
LGTM.
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zxybazh commented on pull request #8823:
URL: https://github.com/apache/tvm/pull/8823#issuecomment-905732933
LGTM.
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csullivan commented on a change in pull request #8823:
URL: https://github.com/apache/tvm/pull/8823#discussion_r695962970
##
File path: python/tvm/target/target.py
##
@@ -413,79 +413,118 @@ def bifrost(model="unknown", options=None):
return Target(" ".join(["opencl"] +
ccjoechou opened a new issue #8848:
URL: https://github.com/apache/tvm/issues/8848
We are prototyping a BYOC flow and have a need to convert the layout of each
nn.max_pool2d call in IR graph to use the attrs["layout"] = "NHWC" format.
Based on our analysis, we found 2 possible issues
sergey-grovety commented on issue #8717:
URL: https://github.com/apache/tvm/issues/8717#issuecomment-905720857
Hello @Mousius,
I would like to clarify something about the part of the problem related to
casting to int16.
Please look at
electriclilies edited a comment on pull request #8835:
URL: https://github.com/apache/tvm/pull/8835#issuecomment-905711627
@mbs-octoml I was doing a bit of debugging yesterday and saw that behavior
too-- there are some cases where we try to look up a target that is LLVM CPU in
a map but
electriclilies commented on pull request #8835:
URL: https://github.com/apache/tvm/pull/8835#issuecomment-905711627
@mbs-octoml I was doing a bit of debugging yesterday and saw that behavior
too-- there are some cases where we try to look up a target that is LLVM CPU in
a map but we don't
mbrookhart commented on a change in pull request #8773:
URL: https://github.com/apache/tvm/pull/8773#discussion_r695939489
##
File path: python/tvm/relay/frontend/onnx.py
##
@@ -3279,6 +3279,40 @@ def get_scalar(x, dtype="float32"):
return _qnn.op.quantize(out,
mehrdadh commented on pull request #8841:
URL: https://github.com/apache/tvm/pull/8841#issuecomment-905708492
@junrushao1994 sure, since this is almost done, I'll send a separate PR.
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jverma-quic commented on a change in pull request #8773:
URL: https://github.com/apache/tvm/pull/8773#discussion_r695936244
##
File path: python/tvm/relay/frontend/onnx.py
##
@@ -3279,6 +3279,40 @@ def get_scalar(x, dtype="float32"):
return _qnn.op.quantize(out,
tmoreau89 commented on issue #8842:
URL: https://github.com/apache/tvm/issues/8842#issuecomment-905703540
Thanks for starting this issue @mehrdadh. For reference this happened in
this PR. The issue was circumvented by re-triggering CI. Changes are likely
unrelated to QEMU or uTVM
tmoreau89 commented on pull request #8822:
URL: https://github.com/apache/tvm/pull/8822#issuecomment-905702962
Flaky test issue is being tracked here:
https://github.com/apache/tvm/issues/8842
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tmoreau89 commented on pull request #8822:
URL: https://github.com/apache/tvm/pull/8822#issuecomment-905702785
Thank you @kparzysz-quic @tkonolige @Lunderberg - the PR has been merged
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moreau pushed a change to branch main
in repository https://gitbox.apache.org/repos/asf/tvm.git.
from 977bdbd Force CMake targets in top-level Makefile to run (#8840)
add a31ebf7 [Hexagon] Reuse Hexagon SDK analysis
tmoreau89 merged pull request #8822:
URL: https://github.com/apache/tvm/pull/8822
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comaniac commented on a change in pull request #8843:
URL: https://github.com/apache/tvm/pull/8843#discussion_r695929809
##
File path: tests/python/relay/test_dataflow_pattern.py
##
@@ -1793,3 +1825,4 @@ def test_partition_constant_embedding():
test_IfPattern()
tmoreau89 commented on issue #8838:
URL: https://github.com/apache/tvm/issues/8838#issuecomment-905696426
Adding @cconvey to the table who is working on `QLinearMatMul`
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junrushao1994 commented on pull request #8841:
URL: https://github.com/apache/tvm/pull/8841#issuecomment-905693422
hey would you mind also updating ci-cpu/gpu? Thanks a lot!
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hgt312 commented on pull request #8847:
URL: https://github.com/apache/tvm/pull/8847#issuecomment-905689897
The motivation is just to prevent processing one module with the same pass
multiple times, it makes the result unexpected and I found that function pass
always return a new Module.
junrushao1994 commented on pull request #8847:
URL: https://github.com/apache/tvm/pull/8847#issuecomment-905680014
I am curious too. Isn’t copy-on-write good enough?
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tkonolige commented on a change in pull request #8793:
URL: https://github.com/apache/tvm/pull/8793#discussion_r695902578
##
File path: tests/python/unittest/test_runtime_module_based_interface.py
##
@@ -90,6 +90,25 @@ def test_cpu():
tvm.testing.assert_allclose(out,
guberti commented on a change in pull request #8748:
URL: https://github.com/apache/tvm/pull/8748#discussion_r695902185
##
File path: apps/microtvm/reference-vm/base-box-tool.py
##
@@ -439,26 +473,27 @@ def parse_args():
"--provider",
choices=ALL_PROVIDERS,
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leandron 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 977bdbd Force CMake targets in top-level Makefile
leandron merged pull request #8840:
URL: https://github.com/apache/tvm/pull/8840
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tqchen commented on pull request #8847:
URL: https://github.com/apache/tvm/pull/8847#issuecomment-905589054
Thanks @hgt312 , may I ask the motivation of the change? The original intend
of the code is that the pass should return a new module if necessary, but can
perform copyon write
Mousius commented on pull request #8835:
URL: https://github.com/apache/tvm/pull/8835#issuecomment-905584474
Hmm, I picked on it calling into that block within `LowerTE` before the
`shape_target` existed via this call:
```
std::pair> main_and_lowered =
mbrookhart commented on a change in pull request #8845:
URL: https://github.com/apache/tvm/pull/8845#discussion_r695841609
##
File path: python/tvm/relay/frontend/onnx.py
##
@@ -961,6 +961,18 @@ def _impl_v1(cls, inputs, attr, params):
return _op.power(out, reci_p)
kparzysz-quic commented on a change in pull request #8823:
URL: https://github.com/apache/tvm/pull/8823#discussion_r695837217
##
File path: python/tvm/target/target.py
##
@@ -413,79 +413,117 @@ def bifrost(model="unknown", options=None):
return Target(" ".join(["opencl"]
kparzysz-quic commented on a change in pull request #8823:
URL: https://github.com/apache/tvm/pull/8823#discussion_r695835863
##
File path: python/tvm/target/target.py
##
@@ -510,23 +548,27 @@ def validate_hvx_length(codegen_hvx, sim_args):
+ cpu_attr["post"]
mbs-octoml commented on pull request #8835:
URL: https://github.com/apache/tvm/pull/8835#issuecomment-905573893
(3oz of coffee later)
It will be the on-the-fly Target creation for the shape functions. By
switching from String to Target we no longer implicitly identify distinct
targets
mbs-octoml commented on pull request #8835:
URL: https://github.com/apache/tvm/pull/8835#issuecomment-905558007
Are the hash and equality on Targets legit?
Also, possibly relevant, there's a bit of hackery to force shape functions
to end up on the 'cpu' target which is hard coded, so it
Mousius commented on a change in pull request #8795:
URL: https://github.com/apache/tvm/pull/8795#discussion_r695768083
##
File path: python/tvm/relay/backend/contrib/ethosu/legalize.py
##
@@ -0,0 +1,218 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or
u99127 commented on a change in pull request #11:
URL: https://github.com/apache/tvm-rfcs/pull/11#discussion_r695811906
##
File path: rfcs/0011_Arm_Ethos-U_Integration.md
##
@@ -192,42 +191,42 @@ TVM_DLL int32_t ethosu_0(TVMValue* args, int* type_code,
int num_args, TVMValue*
u99127 commented on a change in pull request #11:
URL: https://github.com/apache/tvm-rfcs/pull/11#discussion_r695811906
##
File path: rfcs/0011_Arm_Ethos-U_Integration.md
##
@@ -192,42 +191,42 @@ TVM_DLL int32_t ethosu_0(TVMValue* args, int* type_code,
int num_args, TVMValue*
hgt312 opened a new pull request #8847:
URL: https://github.com/apache/tvm/pull/8847
Thanks for contributing to TVM! Please refer to guideline
https://tvm.apache.org/docs/contribute/ for useful information and tips. After
the pull request is submitted, please request code reviews from
mehrdadh opened a new pull request #8846:
URL: https://github.com/apache/tvm/pull/8846
This PR increases timeout to fix qemu flaky tests:
https://github.com/apache/tvm/issues/8842
cc @Mousius @areusch @gromero
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Lunderberg edited a comment on pull request #8840:
URL: https://github.com/apache/tvm/pull/8840#issuecomment-905511312
Looks good to me, and thank you for the fix! Looks like I accidentally left
that trap in #8317, since at the time none of the cmake rules produced a file
with the same
Mousius commented on a change in pull request #8833:
URL: https://github.com/apache/tvm/pull/8833#discussion_r695726706
##
File path: src/relay/backend/contrib/cmsisnn/codegen_cmsisnn.cc
##
@@ -0,0 +1,199 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+
Lunderberg commented on pull request #8840:
URL: https://github.com/apache/tvm/pull/8840#issuecomment-905511312
Looks good to me, and thank you for the fix! Looks like I accidentally left
that trap in #8317, since at the time none of the cmake rules produced a file
with the same name as
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