leandron commented on PR #12541:
URL: https://github.com/apache/tvm/pull/12541#issuecomment-1223576754
Thanks @ashutosh-arm @lhutton1 !
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leandron pushed a change to branch main
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from e252d7f3ab [docs] Add CI contribution instructions (#12551)
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leandron merged PR #12541:
URL: https://github.com/apache/tvm/pull/12541
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masahi commented on issue #12524:
URL: https://github.com/apache/tvm/issues/12524#issuecomment-1223566223
Yeah, that PR is very old, but their current implementation in
Lucien0 opened a new issue, #12553:
URL: https://github.com/apache/tvm/issues/12553
Hi, I constructed a simple example like that
def test_export_mlf():
x = relay.var("x", shape=(10, 10))
w0 = relay.var("w0", shape=(10, 10))
w1 = relay.var("w1",
crawlingcub commented on issue #12524:
URL: https://github.com/apache/tvm/issues/12524#issuecomment-1223556813
There was this fix in pytorch for numerically stable logsigmoid:
https://github.com/pytorch/pytorch/pull/2211
Maybe something similar needs to be done here?
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masahi commented on issue #12524:
URL: https://github.com/apache/tvm/issues/12524#issuecomment-1223554340
Interesting. Is there a known numerical issue if we translate PT
`log_sigmoid` simply by `log(sigmoid(x))`? Otherwise I have no idea where the
difference is coming from.
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crawlingcub commented on issue #12524:
URL: https://github.com/apache/tvm/issues/12524#issuecomment-1223549827
Yes, the outputs changed only when I replaced relu with logsigmoid. They
were exactly same before that.
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github-bot pushed a change to branch last-successful
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from 8e95bba697 Remove mutable defaults in mlp_model (#12546)
add 3bd168194f check for CMSIS_PATH in
yelite opened a new pull request, #12552:
URL: https://github.com/apache/tvm/pull/12552
This PR:
- Adds printing function for all expression types in TIR
This PR is in draft state because it's branched off from a pending PR #12506
Tracking issue:
masahi commented on issue #12524:
URL: https://github.com/apache/tvm/issues/12524#issuecomment-1223543413
You said you replaced relu with logsigmoid. I have a feeling that huge
values in the PT output come from logarithm. If you keep relu, do the two
outputs agree?
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Lucien0 commented on PR #12519:
URL: https://github.com/apache/tvm/pull/12519#issuecomment-1223530278
done
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crawlingcub commented on issue #12524:
URL: https://github.com/apache/tvm/issues/12524#issuecomment-1223524294
Yes, thats what I am seeing as well. With argmax, torch's output label is
39, while for tvm it is 33. Seems like some numerical error is happening here?
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from 902343a817 [BugFix][UMA] Fix order issue in uma_lower (#12447)
add 1e399fa451 [TIR] Add pass to check
HaoKang-Timmy commented on issue #12536:
URL: https://github.com/apache/tvm/issues/12536#issuecomment-1223484129
Could you please look at this problem, please?
@jroesch
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alter-xp commented on PR #12534:
URL: https://github.com/apache/tvm/pull/12534#issuecomment-1223472292
@PhilippvK @areusch
> cc @alter-xp can you take a look at the compiler used here and see if it
would also work for you (or whether there's one in Zephyr we should consider)?
for
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driazati pushed a change to branch main
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from 58f2139ffd [microTVM] Replace static fixtures with parameterization
(#12530)
add e252d7f3ab [docs] Add CI
driazati merged PR #12551:
URL: https://github.com/apache/tvm/pull/12551
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Sunny-Island commented on PR #12144:
URL: https://github.com/apache/tvm/pull/12144#issuecomment-1223467861
> I don't think a unit test is viable specifically for xgboost version
compatibility because (IIUC) our CI instance could only install one version of
xgboost...
Hi, sorry I am
mkatanbaf commented on PR #12390:
URL: https://github.com/apache/tvm/pull/12390#issuecomment-1223453759
@tvm-bot rerun
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PhilippvK commented on PR #12534:
URL: https://github.com/apache/tvm/pull/12534#issuecomment-1223448196
@areusch
> cc @alter-xp can you take a look at the compiler used here and see if it
would also work for you (or whether there's one in Zephyr we should consider)?
I got in
PhilippvK commented on PR #12534:
URL: https://github.com/apache/tvm/pull/12534#issuecomment-1223439906
> turns out the network issue was actually a forgotten step in adding the
image, which i've now hopefully rectified.
@areusch it is probably a fault on my side. Seems like the
PhilippvK commented on code in PR #12534:
URL: https://github.com/apache/tvm/pull/12534#discussion_r952081941
##
python/tvm/micro/testing/aot_test_utils.py:
##
@@ -65,6 +65,17 @@
},
)
+AOT_SPIKE_RUNNER = AOTTestRunner(
Review Comment:
AFAIK AOTTestRunner and the
PhilippvK commented on PR #12522:
URL: https://github.com/apache/tvm/pull/12522#issuecomment-1223432097
> @PhilippvK this looks very cool! the only thing missing is to declare the
dependency on matplotlib so that the user is not surprised with and ImportError
when trying to use it :).
>
mehrdadh merged PR #12539:
URL: https://github.com/apache/tvm/pull/12539
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mehrdadh pushed a change to branch main
in repository https://gitbox.apache.org/repos/asf/tvm.git
from 5cef6bf559 [microTVM] Rework evaluate_model_accuracy into a more
generic helper function (#12539)
add 58f2139ffd
mehrdadh merged PR #12530:
URL: https://github.com/apache/tvm/pull/12530
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mehrdadh pushed a change to branch main
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from 3bd168194f check for CMSIS_PATH in project generation (#12547)
add 5cef6bf559 [microTVM] Rework
mkatanbaf commented on code in PR #12390:
URL: https://github.com/apache/tvm/pull/12390#discussion_r952067644
##
apps/microtvm/zephyr/template_project/boards.json:
##
@@ -54,7 +54,8 @@
"is_qemu": false,
"fpu": true,
"vid_hex": "0483",
-
mehrdadh commented on code in PR #12512:
URL: https://github.com/apache/tvm/pull/12512#discussion_r952065783
##
python/tvm/topi/arm_cpu/mprofile/dsp/conv1d.py:
##
@@ -105,7 +106,12 @@ def conv1d_nwc_dsp_compute(cfg, data, kernel, strides,
padding, dilation, out_dt
github-actions[bot] commented on PR #12414:
URL: https://github.com/apache/tvm/pull/12414#issuecomment-1223420755
Built docs for commit ae149a7b3c2e2ca05f7c3731a267faa42b8153cf can be found
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at 894be8029e lint
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mehrdadh pushed a change to branch main
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from 8e95bba697 Remove mutable defaults in mlp_model (#12546)
add 3bd168194f check for CMSIS_PATH in project generation
mehrdadh merged PR #12547:
URL: https://github.com/apache/tvm/pull/12547
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mehrdadh commented on PR #12547:
URL: https://github.com/apache/tvm/pull/12547#issuecomment-1223412512
cc @alanmacd
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vinx13 commented on code in PR #12544:
URL: https://github.com/apache/tvm/pull/12544#discussion_r952057498
##
python/tvm/meta_schedule/schedule_rule/multi_level_tiling.py:
##
@@ -172,6 +174,7 @@ def __init__(
vector_load_lens: Optional[List[int]] = None,
Hzfengsy commented on code in PR #12544:
URL: https://github.com/apache/tvm/pull/12544#discussion_r952056307
##
python/tvm/meta_schedule/schedule_rule/multi_level_tiling.py:
##
@@ -172,6 +174,7 @@ def __init__(
vector_load_lens: Optional[List[int]] = None,
github-actions[bot] commented on PR #12551:
URL: https://github.com/apache/tvm/pull/12551#issuecomment-1223394723
Built docs for commit c852c6d3c73912e1dd96b16176e87d58431c412c can be found
[here](https://pr-docs.tlcpack.ai/PR-12551/1/docs/index.html).
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masahi commented on code in PR #12544:
URL: https://github.com/apache/tvm/pull/12544#discussion_r952043594
##
src/meta_schedule/schedule_rule/multi_level_tiling_tensor_core.cc:
##
@@ -286,6 +293,54 @@ std::vector
MultiLevelTilingTensorCoreNode::AddReadReuseTensorCore(
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xiyou pushed a change to branch main
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from 1e399fa451 [TIR] Add pass to check for out of bounds memory access
(#12352)
add 8e95bba697 Remove mutable defaults in
zxybazh merged PR #12546:
URL: https://github.com/apache/tvm/pull/12546
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michalpiszczek commented on PR #12546:
URL: https://github.com/apache/tvm/pull/12546#issuecomment-1223352639
Thank you for the reviews @junrushao @Kathryn-cat !
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juda commented on code in PR #12485:
URL: https://github.com/apache/tvm/pull/12485#discussion_r952026615
##
python/tvm/relay/frontend/pytorch.py:
##
@@ -2242,6 +2243,29 @@ def embedding(self, inputs, input_types):
return _op.take(weight, indices.astype("int32"),
juda commented on code in PR #12485:
URL: https://github.com/apache/tvm/pull/12485#discussion_r952026083
##
python/tvm/relay/frontend/pytorch.py:
##
@@ -3919,7 +3950,8 @@ def _handel_nested_input(inputs):
out_names = _get_output_names(op_node)
gromero commented on PR #12519:
URL: https://github.com/apache/tvm/pull/12519#issuecomment-1223347783
@Lucien0 @mehrdadh Could we used `int ch` like in other functions in
`load_json.c`, like `JSONReader_NextObjectItem()`?
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driazati commented on code in PR #12551:
URL: https://github.com/apache/tvm/pull/12551#discussion_r952024632
##
docs/contribute/ci.rst:
##
@@ -174,6 +174,29 @@ The images for these containers are hosted in the `tlcpack
Docker Hub
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github-bot pushed a change to branch nightly-docker-update
in repository https://gitbox.apache.org/repos/asf/tvm.git
discard 3cb2f17836 [ci][docker] Nightly Docker image update
add 262906516a [TVMScript] Printer: add
areusch opened a new pull request, #12551:
URL: https://github.com/apache/tvm/pull/12551
This PR documents the steps to introducing a new CI docker image, which
we've been doing a lot lately.
@driazati
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Kathryn-cat commented on PR #12546:
URL: https://github.com/apache/tvm/pull/12546#issuecomment-122038
LGTM!
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github-bot pushed a change to branch last-successful
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from e5e05feee3 [LLVM] Add "cl-opt" attribute to target_kind "llvm" (#12440)
add 902343a817 [BugFix][UMA]
csullivan commented on code in PR #12411:
URL: https://github.com/apache/tvm/pull/12411#discussion_r952001668
##
src/runtime/hexagon/hexagon_user_dma.cc:
##
@@ -82,12 +95,13 @@ int HexagonUserDMA::Copy(void* dst, void* src, uint32_t
length) {
dmstart(dma_desc);
csullivan commented on code in PR #12411:
URL: https://github.com/apache/tvm/pull/12411#discussion_r951993684
##
tests/cpp-runtime/hexagon/hexagon_user_dma_tests.cc:
##
@@ -57,9 +57,9 @@ TEST_F(HexagonUserDMATest, wait) {
HexagonUserDMA::Get().Wait(10);
}
Review Comment:
mbaret commented on PR #12550:
URL: https://github.com/apache/tvm/pull/12550#issuecomment-1223289608
cc @gigiblender @mikepapadim @leandron @ekalda
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mbaret opened a new pull request, #12550:
URL: https://github.com/apache/tvm/pull/12550
Tracking issue: https://github.com/apache/tvm/issues/12548
This is a pass refactored out of the AOTExecutorCodegen. Instead of
combining all of the functionality of the AOTExecutorCodegen into a
mbaret opened a new pull request, #12549:
URL: https://github.com/apache/tvm/pull/12549
This is a draft to illustrate the refactor described up to P4 in tracking
issue https://github.com/apache/tvm/issues/12548. The pull requests 1-4 will
appear in sequence to be merged separately to this
adstraw commented on code in PR #12411:
URL: https://github.com/apache/tvm/pull/12411#discussion_r951975770
##
src/runtime/hexagon/hexagon_user_dma.h:
##
@@ -0,0 +1,90 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license
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from c1bd0227be [FIX] Fix bug in resize2d unittest func name (#12498)
add 4d7e7a8b57 [ci] xfail failing
mbaret opened a new issue, #12548:
URL: https://github.com/apache/tvm/issues/12548
The AOT executor codegen has accumulated significant technical debt and dead
code during its development, resulting in a component that is difficult to
understand, test and extend. Refactoring it will
mkatanbaf opened a new pull request, #12547:
URL: https://github.com/apache/tvm/pull/12547
This PR checks if the CMSIS_PATH is defined during project generation and
sets the value appropriately in the CMakeLists.txt file. This would prevent a
later build error if the CMSIS_PATH is not
michalpiszczek commented on PR #12546:
URL: https://github.com/apache/tvm/pull/12546#issuecomment-1223116485
cc @zxybazh @Kathryn-cat PTAL
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michalpiszczek opened a new pull request, #12546:
URL: https://github.com/apache/tvm/pull/12546
Removes [mutable default
arguments](https://docs.python-guide.org/writing/gotchas/#mutable-default-arguments)
in `python/tvm/meta_schedule/cost_model/mlp_model.py`.
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slyubomirsky commented on code in PR #89:
URL: https://github.com/apache/tvm-rfcs/pull/89#discussion_r951902969
##
rfcs/0089-relax-upstreaming.md:
##
@@ -0,0 +1,701 @@
+- Feature Name: Relax Upstreaming
+- Start Date: 2022-08-17
+- RFC PR:
shingjan commented on code in PR #12485:
URL: https://github.com/apache/tvm/pull/12485#discussion_r951886852
##
python/tvm/relay/frontend/pytorch.py:
##
@@ -2242,6 +2243,29 @@ def embedding(self, inputs, input_types):
return _op.take(weight, indices.astype("int32"),
shingjan commented on code in PR #12485:
URL: https://github.com/apache/tvm/pull/12485#discussion_r951889739
##
python/tvm/relay/frontend/pytorch.py:
##
@@ -2242,6 +2243,29 @@ def embedding(self, inputs, input_types):
return _op.take(weight, indices.astype("int32"),
shingjan commented on code in PR #12485:
URL: https://github.com/apache/tvm/pull/12485#discussion_r951888906
##
python/tvm/relay/frontend/pytorch.py:
##
@@ -3919,7 +3950,8 @@ def _handel_nested_input(inputs):
out_names = _get_output_names(op_node)
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andrewzhaoluo pushed a change to branch main
in repository https://gitbox.apache.org/repos/asf/tvm.git
from 902343a817 [BugFix][UMA] Fix order issue in uma_lower (#12447)
add 1e399fa451 [TIR] Add pass to check for out
AndrewZhaoLuo commented on code in PR #12352:
URL: https://github.com/apache/tvm/pull/12352#discussion_r951067578
##
src/tir/analysis/oob_checker.cc:
##
@@ -0,0 +1,130 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license
shingjan commented on code in PR #12485:
URL: https://github.com/apache/tvm/pull/12485#discussion_r951887727
##
python/tvm/relay/frontend/pytorch.py:
##
@@ -2485,6 +2509,12 @@ def interpolate(self, inputs, input_types):
)
def numel(self, inputs, input_types):
+
AndrewZhaoLuo merged PR #12352:
URL: https://github.com/apache/tvm/pull/12352
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areusch commented on code in PR #12390:
URL: https://github.com/apache/tvm/pull/12390#discussion_r951887026
##
apps/microtvm/zephyr/template_project/microtvm_api_server.py:
##
@@ -195,6 +195,33 @@ def _get_device_args(options):
)
+def _get_board_mem_size(options):
+
shingjan commented on code in PR #12485:
URL: https://github.com/apache/tvm/pull/12485#discussion_r951886852
##
python/tvm/relay/frontend/pytorch.py:
##
@@ -2242,6 +2243,29 @@ def embedding(self, inputs, input_types):
return _op.take(weight, indices.astype("int32"),
areusch commented on issue #12511:
URL: https://github.com/apache/tvm/issues/12511#issuecomment-1222965187
oh whooops. that was not intentional!
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areusch commented on code in PR #12521:
URL: https://github.com/apache/tvm/pull/12521#discussion_r951879892
##
python/tvm/autotvm/task/dispatcher.py:
##
@@ -238,12 +246,12 @@ class ApplyHistoryBest(DispatchContext):
Parameters
--
-records : str, list of
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from 40fd43e24b [MicroTVM] expose project options in autotuning (#12479)
add 3f56851264 [TIR][Schedule]
manupak commented on PR #12447:
URL: https://github.com/apache/tvm/pull/12447#issuecomment-1222917809
Thanks @MichaelJKlaiber!
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manupa pushed a change to branch main
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from e5e05feee3 [LLVM] Add "cl-opt" attribute to target_kind "llvm" (#12440)
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manupak merged PR #12447:
URL: https://github.com/apache/tvm/pull/12447
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Icemist opened a new pull request, #12545:
URL: https://github.com/apache/tvm/pull/12545
Using multi_filter allows to set additional restrictions on ConfigEntity
indexes used by avtotvm tuning and exclude the unsuitable in advance.
Co-authored-by: Andrey Malyshev
Co-authored-by:
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from 389675668a [CI] Set test dependency on "transformers" package with
pytest.importorskip (#12528)
add
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from 66a31e97a7 [CI] Add alexnet and googlenet caffe model to request hook
(#12510)
add e5e05feee3 [LLVM] Add "cl-opt"
kparzysz-quic merged PR #12440:
URL: https://github.com/apache/tvm/pull/12440
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mkatanbaf commented on code in PR #12390:
URL: https://github.com/apache/tvm/pull/12390#discussion_r951814458
##
apps/microtvm/zephyr/template_project/microtvm_api_server.py:
##
@@ -370,6 +397,12 @@ def _get_nrf_device_args(options):
type="bool",
help="Run on
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from 4d7e7a8b57 [ci] xfail failing ethosu codegen tests (#12508)
add 66a31e97a7 [CI] Add alexnet and googlenet caffe
driazati merged PR #12510:
URL: https://github.com/apache/tvm/pull/12510
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driazati closed issue #12465: [Flaky Test]
`cython.py::tests.python.frontend.darknet.test_forward`
URL: https://github.com/apache/tvm/issues/12465
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from 8146a9bf2c [TIR] Support AllocateConst nodes in TensorIR scheduling
flow (#12489)
add 48a8cbd57d
shingjan commented on issue #12511:
URL: https://github.com/apache/tvm/issues/12511#issuecomment-1222791397
Hi @areusch would that be possible that we keep this open until Luke can
take a look? I believe David's PR only mitigate the issue instead of fixing it.
Thanks!
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vinx13 opened a new pull request, #12544:
URL: https://github.com/apache/tvm/pull/12544
cc @spectrometerHBH @masahi @junrushao
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junrushao commented on PR #89:
URL: https://github.com/apache/tvm-rfcs/pull/89#issuecomment-1222788202
Thank you @leandron @ekalda for the questions, and @zhiics, @slyubomirsky,
@Hzfengsy, @sunggg for the discussion!
As a long-term contributor since 2018, the pre-Relay era, and the
quic-sanirudh commented on code in PR #12204:
URL: https://github.com/apache/tvm/pull/12204#discussion_r951798525
##
include/tvm/runtime/hexagon/ops/conv2d.h:
##
@@ -0,0 +1,133 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license
driazati commented on PR #12533:
URL: https://github.com/apache/tvm/pull/12533#issuecomment-1222784277
adding a new image name requires a small infra change:
https://github.com/tlc-pack/ci/commit/71b059493f78376af6bd9a6ddeb720f8aaeeeff2,
that is in place now and should fix the issue, I
quic-sanirudh commented on code in PR #12204:
URL: https://github.com/apache/tvm/pull/12204#discussion_r951797734
##
src/runtime/hexagon/ops/conv2d_hvx.cc:
##
@@ -0,0 +1,473 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license
quic-sanirudh commented on code in PR #12204:
URL: https://github.com/apache/tvm/pull/12204#discussion_r951797972
##
include/tvm/runtime/hexagon/ops/conv2d.h:
##
@@ -0,0 +1,133 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license
quic-sanirudh commented on code in PR #12204:
URL: https://github.com/apache/tvm/pull/12204#discussion_r951796717
##
include/tvm/runtime/hexagon/ops/conv2d.h:
##
@@ -0,0 +1,133 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license
quic-sanirudh commented on code in PR #12204:
URL: https://github.com/apache/tvm/pull/12204#discussion_r951795171
##
src/runtime/hexagon/ops/conv_utils.cc:
##
@@ -0,0 +1,243 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license
driazati commented on code in PR #12436:
URL: https://github.com/apache/tvm/pull/12436#discussion_r951790460
##
tests/scripts/github_skipped_tests_comment.py:
##
@@ -0,0 +1,206 @@
+#!/usr/bin/env python3
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more
trahman-quic commented on PR #12406:
URL: https://github.com/apache/tvm/pull/12406#issuecomment-1222774093
Hi @mehrdadh CI is green now. Please let me know if you have any feedback on
the PR
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mehrdadh commented on code in PR #12530:
URL: https://github.com/apache/tvm/pull/12530#discussion_r951769878
##
python/tvm/micro/testing/pytest_plugin.py:
##
@@ -26,14 +26,18 @@
from tvm.contrib.utils import tempdir
-from .utils import get_supported_boards
+from .utils
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from 7c318d7196 [ETHOSN] Remove support for older versions of the driver
stack (#12347)
add 8146a9bf2c
leandron commented on PR #12541:
URL: https://github.com/apache/tvm/pull/12541#issuecomment-1222749028
For reference, this is the change on Keras side:
```
https://github.com/keras-team/keras/commit/b6abfaed1326e3c5e1d233e35c97bde177b562fa
```
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