mehrdadh commented on pull request #10841:
URL: https://github.com/apache/tvm/pull/10841#issuecomment-1084167046
cc @supersat
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mehrdadh commented on pull request #10841:
URL: https://github.com/apache/tvm/pull/10841#issuecomment-1084165784
cc @areusch @driazati @kparzysz-quic @cconvey
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mehrdadh opened a new pull request #10841:
URL: https://github.com/apache/tvm/pull/10841
This PR makes required adjustments to update Hexagon CI image to ubuntu
20.04. The base image is built by Ubuntu 20.04
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comaniac pushed a change to branch main
in repository https://gitbox.apache.org/repos/asf/tvm.git.
from 5cacecc [CUBLAS] Add support for nn.dense and nn.batch_matmul (#10826)
add 5814fdd prune dnnl subgraph, and add r
comaniac commented on pull request #10835:
URL: https://github.com/apache/tvm/pull/10835#issuecomment-1084158288
Thanks @crazydemo
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comaniac merged pull request #10835:
URL: https://github.com/apache/tvm/pull/10835
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masahi pushed a commit to branch ci-docker-staging
in repository https://gitbox.apache.org/repos/asf/tvm.git
commit 45dea9197b69a508e15794ac357c0175ec7265f9
Author: Masahiro Masuda
AuthorDate: Thu Mar 31 15:32:33 2022 +0900
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masahi pushed a change to branch ci-docker-staging
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discard 25dea1a validating the new cpu image
add b5e0479 [Pass][Bugfix] StorageFlatten, buffer var definitions
SebastianBoblestETAS commented on pull request #9950:
URL: https://github.com/apache/tvm/pull/9950#issuecomment-1084089033
Hi,
I would postpone resolving this PR until we have finished our work the TIR
export: https://discuss.tvm.apache.org/t/export-tir-to-json/12329/6 if this is
ok.
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masahi pushed a change to branch main
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from 42985c3 [Hexagon] Handle v69 in RPC launcher on simulator (#10829)
add 5cacecc [CUBLAS] Add support for nn.dense an
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from 6af3f36 [Hexagon] Pass extra parameters to link_params via Map
(#10830)
add 42985c3 [Hexagon] Handle v69 in RPC la
masahi merged pull request #10826:
URL: https://github.com/apache/tvm/pull/10826
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masahi pushed a change to branch main
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from 72c761c [MetaSchedule] Fine-Grained Rewrite Unbound Block (#10823)
add 6af3f36 [Hexagon] Pass extra parameters to l
masahi merged pull request #10829:
URL: https://github.com/apache/tvm/pull/10829
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masahi merged pull request #10830:
URL: https://github.com/apache/tvm/pull/10830
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masahi commented on pull request #10783:
URL: https://github.com/apache/tvm/pull/10783#issuecomment-1084069179
I assume this PR is no longer necessary, since we merged your another PR
https://github.com/apache/tvm/pull/10797
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masahi closed pull request #10783:
URL: https://github.com/apache/tvm/pull/10783
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masahi commented on a change in pull request #10839:
URL: https://github.com/apache/tvm/pull/10839#discussion_r839161718
##
File path: python/tvm/topi/arm_cpu/tensor_intrin.py
##
@@ -614,21 +614,22 @@ def _instr(index):
ib.emit(outs[0].vstore(0, tvm.tir.const(0
masahi commented on a change in pull request #10839:
URL: https://github.com/apache/tvm/pull/10839#discussion_r839161718
##
File path: python/tvm/topi/arm_cpu/tensor_intrin.py
##
@@ -614,21 +614,22 @@ def _instr(index):
ib.emit(outs[0].vstore(0, tvm.tir.const(0
masahi commented on a change in pull request #10839:
URL: https://github.com/apache/tvm/pull/10839#discussion_r839160185
##
File path: tests/python/topi/python/test_topi_conv2d_int8.py
##
@@ -364,7 +365,7 @@ def get_ref_data():
# ),
]
-# TODO(tvm-team): Prop
MargaretQian commented on a change in pull request #10722:
URL: https://github.com/apache/tvm/pull/10722#discussion_r839156904
##
File path: tests/python/driver/tvmc/test_runner.py
##
@@ -79,11 +79,47 @@ def test_run_tflite_module__with_profile__valid_input(
pytest.importo
masahi commented on issue #10673:
URL: https://github.com/apache/tvm/issues/10673#issuecomment-1084051576
[test_topi_conv2d_int8.py::verify_conv2d_NCHWc_int8](https://github.com/apache/tvm/blob/b01e3fc4d21bba898a5ea17d526013c52ea720eb/tests/python/topi/python/test_topi_conv2d_int8.py#L383-L
jinfagang opened a new issue #10840:
URL: https://github.com/apache/tvm/issues/10840
Normally, from docs it says, the static lib can be get function out using
this:
```
tvm::runtime::Module mod_tvmlib =
(*tvm::runtime::Registry::Get("runtime.SystemLib"))();
```
masahi opened a new pull request #10839:
URL: https://github.com/apache/tvm/pull/10839
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github-bot pushed a change to branch last-successful
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from 10f037f [ci][docker] Remove nvidia ml repository before updating
(#10828)
add 72c761c [MetaSchedule
areusch commented on a change in pull request #10785:
URL: https://github.com/apache/tvm/pull/10785#discussion_r839122408
##
File path: include/tvm/tir/usmp/utils.h
##
@@ -41,10 +41,16 @@ constexpr const char* kUSMPEnableOption = "tir.usmp.enable";
* \brief PassContext option
crazydemo opened a new pull request #10838:
URL: https://github.com/apache/tvm/pull/10838
This PR would like to change the default weight layout for
`conv3d_transpose` from `OIDHW` to `IODHW`.
I find that, for conv3d_transpose the weight shape is in order of `(I, O, D,
H, W)`, which
crazydemo opened a new pull request #10837:
URL: https://github.com/apache/tvm/pull/10837
This PR contains two modifications:
1. support conv3d-bn folding.
2. add some layout in dnnl_json_runtime, and fix some typos.
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crazydemo opened a new pull request #10836:
URL: https://github.com/apache/tvm/pull/10836
This PR aims to enhance the `GetRootCall` function to support various
topology.
The original `GetRootCall` only supports dnnl_pattern like
`add(add(conv(data, weight), bias), sum_data)`.
But
crazydemo opened a new pull request #10835:
URL: https://github.com/apache/tvm/pull/10835
This PR is inspired by `tensorrt.py`.
It aims to add `prune` function to `dnnl subgraphs`, so that we can only
keep partitions contain compute-intensive ops, and offload some useless
partitions
areusch commented on a change in pull request #65:
URL: https://github.com/apache/tvm-rfcs/pull/65#discussion_r839120089
##
File path: rfcs/0009_Unified_Static_Memory_Planning.md
##
@@ -515,4 +663,6 @@ NOTE : to support tir.constants generally, we'll be
enhancing the bound rel
AndrewZhaoLuo opened a new pull request #10834:
URL: https://github.com/apache/tvm/pull/10834
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from 642fc57 [Metaschedule] Add demonstration of selectively tuning relay
ops with TIR schedules (#10793)
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junrushao pushed a change to branch main
in repository https://gitbox.apache.org/repos/asf/tvm.git.
from 10f037f [ci][docker] Remove nvidia ml repository before updating
(#10828)
add 72c761c [MetaSchedule] Fine-Grain
junrushao1994 merged pull request #10823:
URL: https://github.com/apache/tvm/pull/10823
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junrushao1994 commented on pull request #10823:
URL: https://github.com/apache/tvm/pull/10823#issuecomment-1083810697
Noce!
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github-bot pushed a change to branch last-successful
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from 897019d [Pass][Bugfix] Disable re-use of non-flat buffers in
StorageRewrite. (#10787)
add 642fc57 [
vinx13 commented on issue #10831:
URL: https://github.com/apache/tvm/issues/10831#issuecomment-1083762983
The script with local variables is indeed parsed correctly. There are some
issues in `CompactBufferRegion`. When the upper loop is present, the shape of
`C_reg` will be the union of ac
driazati opened a new pull request #10833:
URL: https://github.com/apache/tvm/pull/10833
This implements
https://discuss.tvm.apache.org/t/rfc-allow-merging-via-pr-comments/12220. The
bot can be invoked from a top-level review comment or via a regular PR comment.
The text `@tvm-bot merge`
altanh commented on issue #10831:
URL: https://github.com/apache/tvm/issues/10831#issuecomment-1083748600
> Thanks @altanh for reporting this. Unfortunately, defining local variables
in tvm script is not supported now
Is something happening when I remove the upper loop in that case?
driazati opened a new issue #10832:
URL: https://github.com/apache/tvm/issues/10832
Seen it in many places e.g.
https://ci.tlcpack.ai/blue/organizations/jenkins/docker-images-ci%2Fdaily-docker-image-rebuild/detail/daily-docker-image-rebuild/274/pipeline/57
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vinx13 commented on issue #10831:
URL: https://github.com/apache/tvm/issues/10831#issuecomment-1083742362
Thanks @altanh for reporting this. Unfortunately, defining local variables
in tvm script is not supported now
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github-bot pushed a change to branch last-successful
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from de93d81 [skip ci][hotfix] Fix broken lint (#10827)
add b5cad84 [TE] Correctly generate buffer binds
zxybazh commented on pull request #10823:
URL: https://github.com/apache/tvm/pull/10823#issuecomment-1083713689
@junrushao1994 CI passed and issues addressed!
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github-bot pushed a change to branch last-successful
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from b2a0e1d [CUBLAS] Add cuBLAS as a Relay partitioning target (BYOC)
(#10820)
add 6d42264 bump PyTorch
altanh commented on issue #10831:
URL: https://github.com/apache/tvm/issues/10831#issuecomment-1083694916
I should note that removing the upper loop
```
for rii, rjj in T.grid(8, 8):
C_reg[rii, rjj] = T.float32(0)
```
seems to get rid of the error. The specific variable na
jwfromm commented on a change in pull request #10722:
URL: https://github.com/apache/tvm/pull/10722#discussion_r839009864
##
File path: python/tvm/driver/tvmc/model.py
##
@@ -281,7 +320,9 @@ def export_package(
if output_format == "mlf" and cross:
raise TV
masahi commented on a change in pull request #10689:
URL: https://github.com/apache/tvm/pull/10689#discussion_r839015309
##
File path: src/tir/schedule/primitive/sampling.cc
##
@@ -299,22 +299,12 @@ std::vector
SamplePerfectTile(support::LinearCongruentialEngine::TRandS
r
zxybazh commented on a change in pull request #10689:
URL: https://github.com/apache/tvm/pull/10689#discussion_r839012913
##
File path: src/tir/schedule/primitive/sampling.cc
##
@@ -299,22 +299,12 @@ std::vector
SamplePerfectTile(support::LinearCongruentialEngine::TRandS
zxybazh commented on pull request #10366:
URL: https://github.com/apache/tvm/pull/10366#issuecomment-1083687484
Hey Junru, the changes of API looks reasonable to me. Would you please
retrigger the CI?
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altanh opened a new issue #10831:
URL: https://github.com/apache/tvm/issues/10831
### Expected behavior
The code should build.
### Actual behavior
TVM complains about undefined variables, when there are none.
### Environment
Reproduced on main.
### S
kparzysz-quic opened a new pull request #10830:
URL: https://github.com/apache/tvm/pull/10830
There is no way to pass `kwargs` dictionary from C++ code, so the previous
way never worked. Use TVM's `Map` instead, and pass the target architecture
version to the linker to use libraries specif
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from fb49a99 [ETHOSN] int8 support for the mean operator (#10463)
add b2a0e1d [CUBLAS] Add cuBLAS as a Re
kparzysz-quic opened a new pull request #10829:
URL: https://github.com/apache/tvm/pull/10829
There are a few tweaks that are needed related to directorystructure in the
SDK.
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masahi pushed a change to branch main
in repository https://gitbox.apache.org/repos/asf/tvm.git.
from 642fc57 [Metaschedule] Add demonstration of selectively tuning relay
ops with TIR schedules (#10793)
add 10f037f
masahi merged pull request #10828:
URL: https://github.com/apache/tvm/pull/10828
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junrushao pushed a change to branch main
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from 897019d [Pass][Bugfix] Disable re-use of non-flat buffers in
StorageRewrite. (#10787)
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junrushao1994 merged pull request #10793:
URL: https://github.com/apache/tvm/pull/10793
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junrushao1994 commented on pull request #10793:
URL: https://github.com/apache/tvm/pull/10793#issuecomment-1083594771
Thanks @masahi @jwfromm for the discussion, and @shingjan @vinx13 for
review! I'm going to merge it in
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junrushao1994 commented on a change in pull request #10793:
URL: https://github.com/apache/tvm/pull/10793#discussion_r838937818
##
File path: tests/python/unittest/test_meta_schedule_tune_relay.py
##
@@ -323,6 +325,222 @@ def get_output(data, lib):
assert np.allclose(a
mbs-octoml commented on a change in pull request #10826:
URL: https://github.com/apache/tvm/pull/10826#discussion_r838913408
##
File path: python/tvm/relay/op/contrib/cublas.py
##
@@ -156,3 +165,21 @@ def _lower_matmul(op: relay.Call, inputs: List[te.Tensor])
-> te.Tensor:
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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 897019d [Pass][Bugfix] Disable re-use of non-flat buff
masahi merged pull request #10787:
URL: https://github.com/apache/tvm/pull/10787
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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 b5cad84 [TE] Correctly generate buffer binds with axis
masahi merged pull request #10819:
URL: https://github.com/apache/tvm/pull/10819
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driazati opened a new pull request #10828:
URL: https://github.com/apache/tvm/pull/10828
`bash docker/build.sh ci_gpu` fails locally as well as in CI:
https://ci.tlcpack.ai/blue/organizations/jenkins/docker-images-ci%2Fdaily-docker-image-rebuild/detail/daily-docker-image-rebuild/273/pipelin
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masahi pushed a change to branch main
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from 6d42264 bump PyTorch version to 1.11 (#10794)
add de93d81 [skip ci][hotfix] Fix broken lint (#10827)
No new revisi
masahi merged pull request #10827:
URL: https://github.com/apache/tvm/pull/10827
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driazati removed a comment on pull request #10794:
URL: https://github.com/apache/tvm/pull/10794#issuecomment-1083533795
I started a manual build so we don't have to wait:
https://ci.tlcpack.ai/job/docker-images-ci/job/daily-docker-image-rebuild/272/
Usually takes about an hour
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driazati commented on pull request #10794:
URL: https://github.com/apache/tvm/pull/10794#issuecomment-1083533795
I started a manual build so we don't have to wait:
https://ci.tlcpack.ai/job/docker-images-ci/job/daily-docker-image-rebuild/272/
Usually takes about an hour
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masahi commented on pull request #10794:
URL: https://github.com/apache/tvm/pull/10794#issuecomment-1083531778
Yes, the next step is to wait until the nightly image appears in
https://hub.docker.com/r/tlcpackstaging/ci_gpu/tags. It will happen about 12h
later.
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driazati opened a new pull request #10827:
URL: https://github.com/apache/tvm/pull/10827
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t-vi commented on pull request #10794:
URL: https://github.com/apache/tvm/pull/10794#issuecomment-1083527546
Thank you, @masahi for merging and helping me. So next we would need to
update the docker gpu image used before I can return to enabling the test that
needs PyTorch 1.11?
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masahi pushed a change to branch main
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from b2a0e1d [CUBLAS] Add cuBLAS as a Relay partitioning target (BYOC)
(#10820)
add 6d42264 bump PyTorch version to 1.1
masahi merged pull request #10794:
URL: https://github.com/apache/tvm/pull/10794
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mbaret commented on pull request #10826:
URL: https://github.com/apache/tvm/pull/10826#issuecomment-1083476419
cc @mbs-octoml @mikepapadim
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mbrookhart pushed a change to branch main
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from fb49a99 [ETHOSN] int8 support for the mean operator (#10463)
add b2a0e1d [CUBLAS] Add cuBLAS as a Relay partiti
mbrookhart commented on pull request #10820:
URL: https://github.com/apache/tvm/pull/10820#issuecomment-1083471236
Thanks @mbaret @mbs-octoml @mikepapadim
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mbrookhart merged pull request #10820:
URL: https://github.com/apache/tvm/pull/10820
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mbaret opened a new pull request #10826:
URL: https://github.com/apache/tvm/pull/10826
Currently on top of https://github.com/apache/tvm/pull/10820 so contains
those changes too. Will be rebased when that PR is merged.
Add support for nn.dense and nn.batch_matmul using cuBLAS. This c
shukun-ziqiangxu commented on pull request #10504:
URL: https://github.com/apache/tvm/pull/10504#issuecomment-1083346807
Hi, @gromero
Sorry to bother you again. I have fixed all errors except the docs:GPU
warning "Inline interpreted text or phrase reference start-string without
en
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from 8fddcc1 [ETHOSN] int8 support for tanh operator (#10813)
add fb49a99 [ETHOSN] int8 support for the m
driazati opened a new pull request #10825:
URL: https://github.com/apache/tvm/pull/10825
This adds a timestamp to the generated Jenkinsfile that is ignored when
`--check`-ing. This line should generate merge conflicts for updates that would
not pass `--check` in CI on main, so PRs will nee
pfk-beta commented on pull request #10222:
URL: https://github.com/apache/tvm/pull/10222#issuecomment-1083250343
@areusch thanks for reply. I'll try to change it this or next week according
to your suggestions :)
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pfk-beta edited a comment on pull request #10222:
URL: https://github.com/apache/tvm/pull/10222#issuecomment-1083250343
@areusch thanks for reply. I'll try to make changes this or next week
according to your suggestions :)
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github-bot pushed a change to branch last-successful
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from d0c7c78 [microNPU] Tweak a layout transform matrix (#10763)
add 8fddcc1 [ETHOSN] int8 support for ta
tqchen commented on pull request #10816:
URL: https://github.com/apache/tvm/pull/10816#issuecomment-1083217149
Thank you @Lunderberg ! yes love all the discussions so far
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lhutton1 commented on a change in pull request #10801:
URL: https://github.com/apache/tvm/pull/10801#discussion_r838490715
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File path: python/tvm/relay/op/contrib/arm_compute_lib.py
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@@ -286,6 +286,7 @@ def _func_wrapper(expr):
_register_external_op_helper("reshape")
+
Lunderberg commented on pull request #10819:
URL: https://github.com/apache/tvm/pull/10819#issuecomment-1083184272
One failing unit test, due to HTTP error. Bumping CI to restart.
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Lunderberg commented on pull request #10816:
URL: https://github.com/apache/tvm/pull/10816#issuecomment-1083179609
Thank you, and I agree that this type of change requires a larger
discussion. My intent was for this draft PR to be an option in that
discussion, not a ready-to-merge change
mikepapadim commented on pull request #10820:
URL: https://github.com/apache/tvm/pull/10820#issuecomment-1083172228
thanks @mbaret LGTM
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t-vi commented on pull request #10794:
URL: https://github.com/apache/tvm/pull/10794#issuecomment-1083172495
All green. :slightly_smiling_face:
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Lunderberg commented on pull request #10787:
URL: https://github.com/apache/tvm/pull/10787#issuecomment-1083160155
Passed CI, but needed to rebase on main to resolve conflict with #10788
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mbaret commented on pull request #10820:
URL: https://github.com/apache/tvm/pull/10820#issuecomment-1083151920
Thanks @mbs-octoml, I've refactored both the 'lower funcs' and tests to
extract all the boilerplate into reusable code. I've also switched to first
using create_prim_func, then I
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mousius 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 fb49a99 [ETHOSN] int8 support for the mean operator (
Mousius merged pull request #10463:
URL: https://github.com/apache/tvm/pull/10463
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Mousius commented on a change in pull request #10463:
URL: https://github.com/apache/tvm/pull/10463#discussion_r838513266
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File path: tests/python/contrib/test_ethosn/test_mean.py
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@@ -40,18 +41,22 @@ def _get_model(shape, axis, keepdims, input_zp, input_sc,
output_zp, out
ekalda commented on a change in pull request #10510:
URL: https://github.com/apache/tvm/pull/10510#discussion_r838511632
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File path: python/tvm/contrib/ethosu/cascader/device_config.py
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@@ -492,29 +492,31 @@ def get_elementwise_block_config(
banks_available -=
Leo-arm commented on a change in pull request #10463:
URL: https://github.com/apache/tvm/pull/10463#discussion_r838462817
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File path: tests/python/contrib/test_ethosn/test_mean.py
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@@ -40,18 +41,22 @@ def _get_model(shape, axis, keepdims, input_zp, input_sc,
output_zp, out
ekalda commented on pull request #10824:
URL: https://github.com/apache/tvm/pull/10824#issuecomment-1083055288
@lhutton1 @manupa-arm @NicolaLancellotti an unglamorous refactor :)
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