masahi edited a comment on pull request #7123:
URL: https://github.com/apache/tvm/pull/7123#issuecomment-752856182
@Laurawly The plan is after we merge this first, we will generalize the
cumsum IR in this PR into a reusable, exclusive scan primitive. After that, we
can update our CUDA `arg
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laurawly pushed a change to branch main
in repository https://gitbox.apache.org/repos/asf/tvm.git.
from c6b766a [Relay][Op] Remove reverse attribute from reshape and
reverse_reshape operators. (#7086)
add c02c9c5 Par
Laurawly commented on pull request #7123:
URL: https://github.com/apache/tvm/pull/7123#issuecomment-752856716
> @Laurawly The plan is after we merge this first, we will generaliz the
cumsum IR in this PR into a reusable, exclusive scan primitive. After that, we
can update our CUDA `argwher
Laurawly merged pull request #7123:
URL: https://github.com/apache/tvm/pull/7123
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masahi edited a comment on pull request #7123:
URL: https://github.com/apache/tvm/pull/7123#issuecomment-752856182
@Laurawly The plan is after we merge this first, we will generaliz the
cumsum IR in this PR into a reusable, exclusive scan primitive. After that, we
can update our CUDA `argw
masahi commented on pull request #7123:
URL: https://github.com/apache/tvm/pull/7123#issuecomment-752856182
@Laurawly The plan is after we merge this first, we will generalized the
cumsum IR in this PR into a reusable, exclusive scan primitive. After that, we
can update our CUDA `argwhere`
masahi commented on a change in pull request #7123:
URL: https://github.com/apache/tvm/pull/7123#discussion_r550404065
##
File path: python/tvm/topi/vision/nms.py
##
@@ -213,7 +213,7 @@ def get_valid_counts(data, score_threshold=0, id_index=0,
score_index=1):
out_indices:
masahi commented on a change in pull request #7123:
URL: https://github.com/apache/tvm/pull/7123#discussion_r550404065
##
File path: python/tvm/topi/vision/nms.py
##
@@ -213,7 +213,7 @@ def get_valid_counts(data, score_threshold=0, id_index=0,
score_index=1):
out_indices:
Laurawly commented on a change in pull request #7123:
URL: https://github.com/apache/tvm/pull/7123#discussion_r550403082
##
File path: python/tvm/topi/vision/nms.py
##
@@ -213,7 +213,7 @@ def get_valid_counts(data, score_threshold=0, id_index=0,
score_index=1):
out_indice
areusch commented on a change in pull request #7164:
URL: https://github.com/apache/tvm/pull/7164#discussion_r550402038
##
File path: docs/dev/index.rst
##
@@ -396,3 +396,11 @@ Security
:maxdepth: 1
security
+
+
+microTVM
+-
+.. toctree::
Review comment:
Laurawly opened a new pull request #7187:
URL: https://github.com/apache/tvm/pull/7187
As mentioned in PR #7146, previous tensor core code lacks type check and
this PR is trying to fix that.
cc @jcf94 @merrymercy @Meteorix
--
Laurawly commented on a change in pull request #7146:
URL: https://github.com/apache/tvm/pull/7146#discussion_r550363118
##
File path: python/tvm/relay/op/strategy/cuda.py
##
@@ -657,6 +657,23 @@ def batch_matmul_strategy_cuda(attrs, inputs, out_type,
target):
nam
FrozenGene commented on a change in pull request #7185:
URL: https://github.com/apache/tvm/pull/7185#discussion_r550388292
##
File path: python/tvm/auto_scheduler/measure.py
##
@@ -303,11 +306,16 @@ class LocalBuilder(ProgramBuilder):
This is used in a wrapper of the m
Meteorix closed issue #7008:
URL: https://github.com/apache/tvm/issues/7008
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sxjscience closed issue #6721:
URL: https://github.com/apache/tvm/issues/6721
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sxjscience commented on issue #6721:
URL: https://github.com/apache/tvm/issues/6721#issuecomment-752828593
Move to https://github.com/apache/tvm/issues/7186
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sxjscience commented on issue #7186:
URL: https://github.com/apache/tvm/issues/7186#issuecomment-752828553
@junrushao1994 I created this new issue. Also, I just figured out that I
cannot attach the "help wanted" label so would you help with that?
--
sxjscience opened a new issue #7186:
URL: https://github.com/apache/tvm/issues/7186
# Feature Request
Recently, TVM has supported the incoming MXNet 2.0 frontend via a series of
PRs: https://github.com/apache/incubator-tvm/pull/6054,
https://github.com/apache/incubator-tvm/pull/6699
junrushao1994 commented on issue #6721:
URL: https://github.com/apache/tvm/issues/6721#issuecomment-752823550
What about creating a new one, categorizing operators like #1799 does
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sxjscience commented on issue #6721:
URL: https://github.com/apache/tvm/issues/6721#issuecomment-752823206
Sounds good to me. Should I change the title of this issue so we may reuse
that? (Or create a new one?)
This is an au
leowang1225 commented on pull request #7185:
URL: https://github.com/apache/tvm/pull/7185#issuecomment-752822165
> Signed-off-by: leowang1225 [810916...@qq.com](mailto:810916...@qq.com)
>
> Thanks for contributing to TVM! Please refer to guideline
https://tvm.apache.org/docs/contribu
leowang1225 opened a new pull request #7185:
URL: https://github.com/apache/tvm/pull/7185
Signed-off-by: leowang1225 <810916...@qq.com>
Thanks for contributing to TVM! Please refer to guideline
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the pull
junrushao1994 commented on issue #6721:
URL: https://github.com/apache/tvm/issues/6721#issuecomment-752817334
Yeah we can have a consolidated "[Frontend][MXNet] Importer Missing
Operators" thread and mark it as "help wanted". What do you think?
junrushao1994 commented on issue #6817:
URL: https://github.com/apache/tvm/issues/6817#issuecomment-752816644
Closed via #6862. Please feel free to reopen if the bug still exists. Thanks!
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junrushao1994 closed issue #6817:
URL: https://github.com/apache/tvm/issues/6817
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comaniac opened a new pull request #7184:
URL: https://github.com/apache/tvm/pull/7184
Add support to convert layouts for `slice_like` operator. The current
limitation is that we require the layout of both inputs to perform the layout
inference. It means if one of the inputs is input tenso
sxjscience commented on issue #6721:
URL: https://github.com/apache/tvm/issues/6721#issuecomment-752811662
I think we can create a thread about that. Do you think that we should
create a new one?
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junrushao1994 commented on issue #6721:
URL: https://github.com/apache/tvm/issues/6721#issuecomment-752811499
Hey Xingjian, thanks for bringing this up! It is certainly more than welcome
for future contribution. Shall we put up a list of MXNet operators to be
supported and consolidate them
junrushao1994 commented on issue #7008:
URL: https://github.com/apache/tvm/issues/7008#issuecomment-752811155
If there is no actionable item, I suggest we merge this particular issue to
relay improvements, and close this thread.
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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 c6b766a [Relay][Op] Remove reverse attribute from resh
tqchen merged pull request #7086:
URL: https://github.com/apache/tvm/pull/7086
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junrushao1994 commented on issue #7079:
URL: https://github.com/apache/tvm/issues/7079#issuecomment-752810786
Thanks for your interests in TVM. Please create a thread at the discuss
forum (https://discuss.tvm.apache.org/) and ask general usability issues.
Thanks!
junrushao1994 closed issue #7079:
URL: https://github.com/apache/tvm/issues/7079
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junrushao1994 commented on issue #6990:
URL: https://github.com/apache/tvm/issues/6990#issuecomment-752810735
Thanks for your interests in TVM. Please create a thread at the discuss
forum (https://discuss.tvm.apache.org/) and ask general usability issues.
Thanks!
junrushao1994 closed issue #6990:
URL: https://github.com/apache/tvm/issues/6990
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Laurawly commented on a change in pull request #7146:
URL: https://github.com/apache/tvm/pull/7146#discussion_r550363118
##
File path: python/tvm/relay/op/strategy/cuda.py
##
@@ -657,6 +657,23 @@ def batch_matmul_strategy_cuda(attrs, inputs, out_type,
target):
nam
jwfromm commented on pull request #7086:
URL: https://github.com/apache/tvm/pull/7086#issuecomment-752792218
@icemelon9, I made the change recommended by TQ. This should now be ready to
merge.
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junrushao1994 closed issue #7155:
URL: https://github.com/apache/tvm/issues/7155
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junrushao1994 commented on issue #7155:
URL: https://github.com/apache/tvm/issues/7155#issuecomment-752770806
Closed via #7175
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junrushao1994 commented on issue #7176:
URL: https://github.com/apache/tvm/issues/7176#issuecomment-752770671
Thanks for your interests in TVM. Please create a thread at the discuss
forum (https://discuss.tvm.apache.org/) since it is not a bug. Thanks!
junrushao1994 closed issue #7176:
URL: https://github.com/apache/tvm/issues/7176
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junrushao1994 edited a comment on issue #7176:
URL: https://github.com/apache/tvm/issues/7176#issuecomment-752254454
Looks like softplus is not implemented yet, so a PR is more than welcomed
:-)
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junrushao1994 commented on issue #7178:
URL: https://github.com/apache/tvm/issues/7178#issuecomment-752770468
Thanks for your interests in TVM. Please create a thread at the discuss
forum (https://discuss.tvm.apache.org/) and ask general usability issues.
Thanks!
junrushao1994 closed issue #7178:
URL: https://github.com/apache/tvm/issues/7178
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junrushao1994 commented on issue #7179:
URL: https://github.com/apache/tvm/issues/7179#issuecomment-752770377
Thanks for your interests in TVM. Please create a thread at the discuss
forum (https://discuss.tvm.apache.org/) and ask general usability issues.
Thanks!
BTW, I agree with a
junrushao1994 closed issue #7179:
URL: https://github.com/apache/tvm/issues/7179
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junrushao1994 commented on issue #7182:
URL: https://github.com/apache/tvm/issues/7182#issuecomment-752769933
Thanks for your interests in TVM. Please create a thread at the discuss
forum (https://discuss.tvm.apache.org/) and ask general usability issues.
Thanks!
junrushao1994 closed issue #7182:
URL: https://github.com/apache/tvm/issues/7182
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codeislife99 opened a new issue #7183:
URL: https://github.com/apache/tvm/issues/7183
tests/python/unittest/test_arith_solve_linear_inequality.py:73: fails with
seed 3858162330384474861
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codeislife99 commented on pull request #7126:
URL: https://github.com/apache/tvm/pull/7126#issuecomment-752721781
@tkonolige @mbrookhart This PR is ready for re-review as well whenever you
are back from vacation.
This is an
codeislife99 commented on a change in pull request #7126:
URL: https://github.com/apache/tvm/pull/7126#discussion_r550291956
##
File path: src/relay/op/tensor/transform.cc
##
@@ -1553,6 +1553,65 @@ RELAY_REGISTER_OP("meshgrid")
.set_attr("FTVMCompute", MeshgridCompute)
codeislife99 commented on a change in pull request #7126:
URL: https://github.com/apache/tvm/pull/7126#discussion_r550279440
##
File path: python/tvm/relay/op/transform.py
##
@@ -1320,3 +1320,83 @@ def adv_index(inputs):
Output tensor.
"""
return _make.adv_in
juannzou commented on pull request #6012:
URL: https://github.com/apache/tvm/pull/6012#issuecomment-752647032
Hi @lhf1997
I had the same issue. Have you tried with [Pynq bitstream
0.0.2](https://github.com/uwsampl/vta-distro/tree/master/bitstreams/pynq/0.0.2)?
It worked for me! But
juannzou opened a new issue #7182:
URL: https://github.com/apache/tvm/issues/7182
I am getting an error while following [Testing Pynq-based Hardware
Setup](https://tvm.apache.org/docs/vta/install.html#testing-your-pynq-based-hardware-setup).
First I used [Pynq 0.0.1
bitstream](https
FrozenGene commented on pull request #7181:
URL: https://github.com/apache/tvm/pull/7181#issuecomment-752526322
It is merged now, thanks @leowang1225
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zhaowu 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 712b4a5 [Auto Scheduler][fix] Add dense strategy for m
FrozenGene merged pull request #7181:
URL: https://github.com/apache/tvm/pull/7181
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merrymercy merged pull request #7180:
URL: https://github.com/apache/tvm/pull/7180
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lmzheng pushed a commit to branch main
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The following commit(s) were added to refs/heads/main by this push:
new f904d4f [AutoScheduler] Fix policy for zero-rank outp
codeislife99 commented on a change in pull request #7126:
URL: https://github.com/apache/tvm/pull/7126#discussion_r550161068
##
File path: python/tvm/relay/op/transform.py
##
@@ -1320,3 +1320,84 @@ def adv_index(inputs):
Output tensor.
"""
return _make.adv_in
codeislife99 commented on pull request #7125:
URL: https://github.com/apache/tvm/pull/7125#issuecomment-752427169
Thats understandable ofcourse, I can wait for the full review. In the
meantime I will create a branch with all the three Ops and E2E testing.
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masahi pushed a change to branch main
in repository https://gitbox.apache.org/repos/asf/tvm.git.
from 66e123f [TOPI] Parallelize GPU NMS inner loop (#7172)
add 6a4c51e [AutoScheduler] Use VM to extract tasks for dynam
masahi commented on pull request #7173:
URL: https://github.com/apache/tvm/pull/7173#issuecomment-752417084
thanks @comaniac @jcf94 @merrymercy
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masahi merged pull request #7173:
URL: https://github.com/apache/tvm/pull/7173
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masahi merged pull request #7172:
URL: https://github.com/apache/tvm/pull/7172
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masahi commented on pull request #7172:
URL: https://github.com/apache/tvm/pull/7172#issuecomment-752381473
thanks @Laurawly
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masahi 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 66e123f [TOPI] Parallelize GPU NMS inner loop (#7172)
leowang1225 commented on pull request #7181:
URL: https://github.com/apache/tvm/pull/7181#issuecomment-752374930
> Signed-off-by: leowang1225 [810916...@qq.com](mailto:810916...@qq.com)
>
> Thanks for contributing to TVM! Please refer to guideline
https://tvm.apache.org/docs/contribu
leowang1225 opened a new pull request #7181:
URL: https://github.com/apache/tvm/pull/7181
Signed-off-by: leowang1225 <810916...@qq.com>
Thanks for contributing to TVM! Please refer to guideline
https://tvm.apache.org/docs/contribute/ for useful information and tips. After
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