zhen-jia commented on issue #5000: [Graph tuner]Add opt out operator for
has_multiple_inputs for graph tuner
URL: https://github.com/apache/incubator-tvm/pull/5000#issuecomment-596927909
> @zhen-jia Overall lgtm. Can you take a look at the ci failure?
I am working on it and fixed the fai
ANSHUMAN87 commented on issue #5012: [1] Test case modified for int type
URL: https://github.com/apache/incubator-tvm/pull/5012#issuecomment-596916189
> Please look into the CI error
@tqchen : This error does not reproduce in my setup. Looks like some random
issue. To isolate i may p
siju-samuel opened a new pull request #5022: [TFLITE]Round op parsing support
added
URL: https://github.com/apache/incubator-tvm/pull/5022
@wyc-ruiker @anijain2305 @FrozenGene Please help to review and merge this
PR. TIA
Thanks for contributing to TVM! Please refer to guideline
h
masahi opened a new issue #5021: [Relay, TOPI] Implement Adaptive Pool 3D op
URL: https://github.com/apache/incubator-tvm/issues/5021
I found that we are missing adaptive pool 3d in our 3D op collections. With
this, we can run 3D resnet from torchvision
https://github.com/pytorch/vision/bl
zhiics commented on issue #4459: [RUNTIME] Implement TVMDSOOp(TensorFlow custom
op) for TVM runtime
URL: https://github.com/apache/incubator-tvm/pull/4459#issuecomment-596901640
I think leaving it under the contrib fold is probably not very good because
we are not really testing them. Ther
comaniac commented on issue #5019: [AutoTVM] Temporary fix to the stack
overflow issue in autotvm task extraction
URL: https://github.com/apache/incubator-tvm/pull/5019#issuecomment-596901315
> Thanks for looking into this. I have hit the stackoverflow before. I've
been working around it b
jmorrill commented on issue #5019: [AutoTVM] Temporary fix to the stack
overflow issue in autotvm task extraction
URL: https://github.com/apache/incubator-tvm/pull/5019#issuecomment-596899986
Thanks for looking into this. I have hit the stackoverflow before. I've
been working around it b
masahi commented on issue #4949: Conv3D ONNX support and conv3D_ncdhw x86
schedules
URL: https://github.com/apache/incubator-tvm/pull/4949#issuecomment-596896933
hi, I'd like to use this schedule in my next Torch frontend PR (loading
resnet 3D from torchvision). Can you merge this? @icemel
ANSHUMAN87 commented on issue #4951: Conditions updated to cover better user
scenarios
URL: https://github.com/apache/incubator-tvm/pull/4951#issuecomment-596897066
> This PR is among one of the PRs affected by the github squash commit bug.
We take every contribution serious in the TVM com
zhiics commented on issue #5010: Early checking added and new test cases added
for schedule fuse
URL: https://github.com/apache/incubator-tvm/pull/5010#issuecomment-596895536
Thanks @ANSHUMAN87
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zhiics merged pull request #5010: Early checking added and new test cases added
for schedule fuse
URL: https://github.com/apache/incubator-tvm/pull/5010
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zhic pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-tvm.git.
from fd39c5c Implemented kDLCPUPinned (cudaMallocHost) (#4985)
add c41e040 Early checking added and new test c
ANSHUMAN87 commented on issue #5010: Early checking added and new test cases
added for schedule fuse
URL: https://github.com/apache/incubator-tvm/pull/5010#issuecomment-596893416
> Could you add some description about what problems are trying to solve? It
would help people to understand th
wrongtest commented on issue #4459: [RUNTIME] Implement TVMDSOOp(TensorFlow
custom op) for TVM runtime
URL: https://github.com/apache/incubator-tvm/pull/4459#issuecomment-596892463
> For python unit test, something similar in your RFC should be okay. We
have TensorFlow in the CI. For gtest
jwfromm commented on a change in pull request #4960: [Relay][Pass] Add
submodule extraction pass
URL: https://github.com/apache/incubator-tvm/pull/4960#discussion_r390082464
##
File path: tests/python/relay/test_pass_extract_functions.py
##
@@ -0,0 +1,116 @@
+# Licensed to
jwfromm commented on a change in pull request #4960: [Relay][Pass] Add
submodule extraction pass
URL: https://github.com/apache/incubator-tvm/pull/4960#discussion_r390082658
##
File path: tests/python/relay/test_pass_extract_functions.py
##
@@ -0,0 +1,116 @@
+# Licensed to
tqchen commented on issue #5012: [1] Test case modified for int type
URL: https://github.com/apache/incubator-tvm/pull/5012#issuecomment-596873783
Please look into the CI error
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tqchen commented on issue #4931: Tighten split's extent
URL: https://github.com/apache/incubator-tvm/pull/4931#issuecomment-596873565
@merrymercy can you followup by reverting this PR first? Then @yongfeng-nv
can send another PR back
tqchen commented on a change in pull request #5005: [WIP]TVM android camera demo
URL: https://github.com/apache/incubator-tvm/pull/5005#discussion_r390066083
##
File path: apps/android_camera/app/src/main/res/drawable/item_selector.xml
##
@@ -0,0 +1,21 @@
+
tqchen commented on a change in pull request #5005: [WIP]TVM android camera demo
URL: https://github.com/apache/incubator-tvm/pull/5005#discussion_r390066315
##
File path: apps/android_camera/app/src/main/res/drawable/item_selector.xml
##
@@ -0,0 +1,21 @@
+
tqchen commented on a change in pull request #5005: [WIP]TVM android camera demo
URL: https://github.com/apache/incubator-tvm/pull/5005#discussion_r390066315
##
File path: apps/android_camera/app/src/main/res/drawable/item_selector.xml
##
@@ -0,0 +1,21 @@
+
tqchen commented on a change in pull request #5005: [WIP]TVM android camera demo
URL: https://github.com/apache/incubator-tvm/pull/5005#discussion_r390066083
##
File path: apps/android_camera/app/src/main/res/drawable/item_selector.xml
##
@@ -0,0 +1,21 @@
+
tqchen commented on issue #4500: [VTA][Python] Instruction Level Metal Test
Infrastructure
URL: https://github.com/apache/incubator-tvm/pull/4500#issuecomment-596872446
close for now due to inactive status, feel free to bring it back
tqchen closed pull request #4500: [VTA][Python] Instruction Level Metal Test
Infrastructure
URL: https://github.com/apache/incubator-tvm/pull/4500
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tqchen edited a comment on issue #5011: [Intrin] Adding a few missing math
intrin
URL: https://github.com/apache/incubator-tvm/pull/5011#issuecomment-596872089
Thanks @antinucleon please add testcases to cover these cases
Th
tqchen commented on issue #4628: [Object] Add String container
URL: https://github.com/apache/incubator-tvm/pull/4628#issuecomment-596871935
ping @wweic :)
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tqchen commented on issue #5011: [Intrin] Adding a few missing math intrin
URL: https://github.com/apache/incubator-tvm/pull/5011#issuecomment-596872089
Thanks @antinucleon pleas eadd testcase to cover these cases
This is an
tqchen commented on issue #4985: Implemented kDLCPUPinned (cudaMallocHost)
URL: https://github.com/apache/incubator-tvm/pull/4985#issuecomment-596871762
Thanks @jmorrill ! this is merged
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tqchen pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-tvm.git.
from 41e1d5f Revive the Rust + SGX refactor (#4976)
add fd39c5c Implemented kDLCPUPinned (cudaMallocHost) (#
tqchen merged pull request #4985: Implemented kDLCPUPinned (cudaMallocHost)
URL: https://github.com/apache/incubator-tvm/pull/4985
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tqchen commented on issue #4847: Return empty CSourceModule when no
lowered_funcs exists in Relay mod
URL: https://github.com/apache/incubator-tvm/pull/4847#issuecomment-596871412
ping @FrozenGene please followup
This is an a
tqchen closed issue #4860: [TEST][FLAKY]
topi/tests/python/test_topi_sort.py::test_argsort
URL: https://github.com/apache/incubator-tvm/issues/4860
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tqchen commented on issue #4860: [TEST][FLAKY]
topi/tests/python/test_topi_sort.py::test_argsort
URL: https://github.com/apache/incubator-tvm/issues/4860#issuecomment-596871188
https://github.com/apache/incubator-tvm/pull/4891
---
tqchen edited a comment on issue #2885: [SGX] Use Fortanix EDP
URL: https://github.com/apache/incubator-tvm/pull/2885#issuecomment-596870953
superseded by https://github.com/apache/incubator-tvm/pull/4976
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tqchen closed pull request #2885: [SGX] Use Fortanix EDP
URL: https://github.com/apache/incubator-tvm/pull/2885
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tqchen pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-tvm.git.
from 93dff44 [REDO AFTER GH BUG] Add support for quantized models via QNN
(#5016)
add 41e1d5f Revive the Ru
tqchen commented on issue #2885: [SGX] Use Fortanix EDP
URL: https://github.com/apache/incubator-tvm/pull/2885#issuecomment-596870953
superceded by https://github.com/apache/incubator-tvm/pull/4976
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tqchen commented on issue #4976: Revive the Rust + SGX refactor
URL: https://github.com/apache/incubator-tvm/pull/4976#issuecomment-596870852
Thanks @jroesch @nhynes !
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tqchen merged pull request #4976: Revive the Rust + SGX refactor
URL: https://github.com/apache/incubator-tvm/pull/4976
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yongfeng-nv commented on issue #4931: Tighten split's extent
URL: https://github.com/apache/incubator-tvm/pull/4931#issuecomment-596866979
> This PR is among one of the PRs affected by the github squash commit bug.
We take every contribution serious in the TVM community. The community has
masahi commented on issue #4964: [Torch] Add initial control flow support
URL: https://github.com/apache/incubator-tvm/pull/4964#issuecomment-596858140
@zhiics @MarisaKirisame @alexwong Comments were addressed and I have no plan
of updating this PR further. Can we merge this?
---
masahi commented on issue #5016: [REDO AFTER GH BUG] Add support for quantized
models via QNN
URL: https://github.com/apache/incubator-tvm/pull/5016#issuecomment-596857613
Thanks @anijain2305 @jwfromm
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masahi merged pull request #5016: [REDO AFTER GH BUG] Add support for quantized
models via QNN
URL: https://github.com/apache/incubator-tvm/pull/5016
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masahi pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-tvm.git.
from f346c60 Revert "[Torch, QNN] Add support for quantized models via QNN
(#4977)" (#5013)
add 93dff44 [RE
kevinthesun opened a new pull request #5020: [Frontend][TensorFlow]TensorFlow
Parser Control Flow Enhancement
URL: https://github.com/apache/incubator-tvm/pull/5020
RFC: https://github.com/apache/incubator-tvm/issues/4969
In addition to control flow improvements, this PR also changes som
tmoreau89 commented on a change in pull request #4960: [Relay][Pass] Add
submodule extraction pass
URL: https://github.com/apache/incubator-tvm/pull/4960#discussion_r390036823
##
File path: tests/python/relay/test_pass_extract_functions.py
##
@@ -0,0 +1,116 @@
+# Licensed
tmoreau89 commented on a change in pull request #4960: [Relay][Pass] Add
submodule extraction pass
URL: https://github.com/apache/incubator-tvm/pull/4960#discussion_r390036855
##
File path: tests/python/relay/test_pass_extract_functions.py
##
@@ -0,0 +1,116 @@
+# Licensed
icemelon9 opened a new pull request #5019: [AutoTVM] Temporary fix to the stack
overflow issue in autotvm task extraction
URL: https://github.com/apache/incubator-tvm/pull/5019
Thanks for contributing to TVM! Please refer to guideline
https://docs.tvm.ai/contribute/ for useful informatio
icemelon9 commented on issue #5019: [AutoTVM] Temporary fix to the stack
overflow issue in autotvm task extraction
URL: https://github.com/apache/incubator-tvm/pull/5019#issuecomment-596839279
cc @comaniac @merrymercy @kevinthesun
--
anijain2305 commented on issue #5018: Look for TupleType instead of TupleNode
in LayoutRewriter
URL: https://github.com/apache/incubator-tvm/pull/5018#issuecomment-596832368
Trevor, can you please add a test case? The implementation is good, but we
need a test case.
-
zhiics commented on a change in pull request #4960: [Relay][Pass] Add submodule
extraction pass
URL: https://github.com/apache/incubator-tvm/pull/4960#discussion_r390018799
##
File path: src/relay/pass/extract_functions.cc
##
@@ -0,0 +1,63 @@
+/*
+ * Licensed to the Apache
zhiics commented on a change in pull request #4960: [Relay][Pass] Add submodule
extraction pass
URL: https://github.com/apache/incubator-tvm/pull/4960#discussion_r390020988
##
File path: src/relay/pass/extract_functions.cc
##
@@ -0,0 +1,63 @@
+/*
+ * Licensed to the Apache
zhiics commented on a change in pull request #4960: [Relay][Pass] Add submodule
extraction pass
URL: https://github.com/apache/incubator-tvm/pull/4960#discussion_r390019016
##
File path: src/relay/pass/extract_functions.cc
##
@@ -0,0 +1,63 @@
+/*
+ * Licensed to the Apache
zhiics commented on a change in pull request #4960: [Relay][Pass] Add submodule
extraction pass
URL: https://github.com/apache/incubator-tvm/pull/4960#discussion_r390019935
##
File path: src/relay/pass/extract_functions.cc
##
@@ -0,0 +1,63 @@
+/*
+ * Licensed to the Apache
anwang2009 commented on a change in pull request #4960: [Relay][Pass] Add
submodule extraction pass
URL: https://github.com/apache/incubator-tvm/pull/4960#discussion_r390019572
##
File path: tests/python/relay/test_pass_extract_functions.py
##
@@ -0,0 +1,114 @@
+# Licensed
tmoreau89 commented on a change in pull request #4960: [Relay][Pass] Add
submodule extraction pass
URL: https://github.com/apache/incubator-tvm/pull/4960#discussion_r390011187
##
File path: tests/python/relay/test_pass_extract_functions.py
##
@@ -0,0 +1,114 @@
+# Licensed
jwfromm commented on a change in pull request #4960: [Relay][Pass] Add
submodule extraction pass
URL: https://github.com/apache/incubator-tvm/pull/4960#discussion_r390009947
##
File path: tests/python/relay/test_pass_extract_functions.py
##
@@ -0,0 +1,114 @@
+# Licensed to
jwfromm commented on a change in pull request #4960: [Relay][Pass] Add
submodule extraction pass
URL: https://github.com/apache/incubator-tvm/pull/4960#discussion_r390008819
##
File path: tests/python/relay/test_pass_extract_functions.py
##
@@ -0,0 +1,114 @@
+# Licensed to
notoraptor commented on issue #5017: Revert "[topi][relay] add operation tan to
TVM (#4938)"
URL: https://github.com/apache/incubator-tvm/pull/5017#issuecomment-596812398
Ok ! So, I wait for this PR to be merged.
This is an a
kevinthesun commented on issue #5000: [Graph tuner]Add opt out operator for
has_multiple_inputs for graph tuner
URL: https://github.com/apache/incubator-tvm/pull/5000#issuecomment-596810383
@zhen-jia Overall lgtm. Can you take a look at the ci failure?
-
trevor-m opened a new pull request #5018: Look for TupleType instead of
TupleNode in LayoutRewriter
URL: https://github.com/apache/incubator-tvm/pull/5018
When getting the input shapes from the args LayoutRewriter checked for
tuples only by seeing if the node is an instance of TupleNOde. W
mbaret commented on issue #4996: [relay][external codegen] outline and inline
lifted functions for external codegen
URL: https://github.com/apache/incubator-tvm/pull/4996#issuecomment-596800033
Yep, I'll try and give a better explanation there in the morning.
--
kevinthesun commented on issue #5017: Revert "[topi][relay] add operation tan
to TVM (#4938)"
URL: https://github.com/apache/incubator-tvm/pull/5017#issuecomment-596799940
@notoraptor Can you make another PR after this is merged? Thanks!
kevinthesun opened a new pull request #5017: Revert "[topi][relay] add
operation tan to TVM (#4938)"
URL: https://github.com/apache/incubator-tvm/pull/5017
This reverts PR: https://github.com/apache/incubator-tvm/pull/4938.
@tqchen @notoraptor
---
zhiics commented on issue #4996: [relay][external codegen] outline and inline
lifted functions for external codegen
URL: https://github.com/apache/incubator-tvm/pull/4996#issuecomment-596797859
Can you post the questions on discussion forum?
---
mbaret commented on issue #4996: [relay][external codegen] outline and inline
lifted functions for external codegen
URL: https://github.com/apache/incubator-tvm/pull/4996#issuecomment-596795800
It's possible we're doing something wrong, but the function
LowerExternalFunctions in compile_en
anwang2009 commented on issue #4960: [Relay][Pass] Add submodule extraction pass
URL: https://github.com/apache/incubator-tvm/pull/4960#issuecomment-596795439
I have made edits in accordance with the above RFC
This is an autom
zhiics edited a comment on issue #4996: [relay][external codegen] outline and
inline lifted functions for external codegen
URL: https://github.com/apache/incubator-tvm/pull/4996#issuecomment-596790065
I personally don't think TVM should be aware of accelerator specific
transformations beca
zhiics commented on issue #4996: [relay][external codegen] outline and inline
lifted functions for external codegen
URL: https://github.com/apache/incubator-tvm/pull/4996#issuecomment-596790065
I personally don't think TVM should be aware of accelerator specific
transformations because the
mbaret commented on issue #4996: [relay][external codegen] outline and inline
lifted functions for external codegen
URL: https://github.com/apache/incubator-tvm/pull/4996#issuecomment-596785558
Beforehand, we had been running some passes after partitioning (for instance
a layout transform
zhiics commented on issue #4996: [relay][external codegen] outline and inline
lifted functions for external codegen
URL: https://github.com/apache/incubator-tvm/pull/4996#issuecomment-596783209
Yes, this is intended. We plan to do it. For example, we may want to have a
build pipeline that
mbaret commented on issue #4996: [relay][external codegen] outline and inline
lifted functions for external codegen
URL: https://github.com/apache/incubator-tvm/pull/4996#issuecomment-596777325
@zhiics It looks like this makes it so we can't run any passes on external
functions. Is this th
leezu commented on issue #4958: [RFC] Require C++14 in 0.7 release cycle
URL: https://github.com/apache/incubator-tvm/issues/4958#issuecomment-596773696
> GCC5 is enough for c++14 support and should be available in most edge
devices.
Is there any overview on the edge devices to be su
leezu edited a comment on issue #4958: [RFC] Require C++14 in 0.7 release cycle
URL: https://github.com/apache/incubator-tvm/issues/4958#issuecomment-596773696
> GCC5 is enough for c++14 support and should be available in most edge
devices.
Is there any overview on the edge devices t
tqchen commented on issue #4958: [RFC] Require C++14 in 0.7 release cycle
URL: https://github.com/apache/incubator-tvm/issues/4958#issuecomment-596769163
GCC5 is enough for c++14 support and should be available in most edge
devices. For runtime only support, the community recently introduce
leezu commented on issue #4958: [RFC] Require C++14 in 0.7 release cycle
URL: https://github.com/apache/incubator-tvm/issues/4958#issuecomment-596767825
An alternative is to require C++17 which gcc7 supports and ships by default
in Ubuntu 18.04.
C++17 compiler can be used on as old syste
tqchen commented on issue #5015: [DEV] Amend Github Attribution Bug
URL: https://github.com/apache/incubator-tvm/issues/5015#issuecomment-596763925
cc @merrymercy @kevinthesun @anijain2305 @masahi
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masahi opened a new pull request #5016: [REDO AFTER GH BUG] Add support for
quantized models via QNN
URL: https://github.com/apache/incubator-tvm/pull/5016
Thanks for contributing to TVM! Please refer to guideline
https://docs.tvm.ai/contribute/ for useful information and tips. After the
masahi commented on issue #5013: Revert "[Torch, QNN] Add support for quantized
models via QNN (#4977)"
URL: https://github.com/apache/incubator-tvm/pull/5013#issuecomment-596758568
yes coming, thanks for the quick action.
Th
tqchen commented on issue #4938: [topi][relay] add operation tan to TVM
URL: https://github.com/apache/incubator-tvm/pull/4938#issuecomment-596758207
cc @kevinthesun please send the reverting PR, then @notoraptor can send the
patch
--
tqchen edited a comment on issue #4938: [topi][relay] add operation tan to TVM
URL: https://github.com/apache/incubator-tvm/pull/4938#issuecomment-596747804
This PR is among one of the PRs affected by the github squash commit bug. We
take every contribution serious in the TVM community. Th
tqchen commented on issue #4975: Fix gpu not found when running TVM docker
URL: https://github.com/apache/incubator-tvm/pull/4975#issuecomment-596757344
This PR is among one of the PRs affected by the github squash commit bug. We
take every contribution serious in the TVM community. The com
anijain2305 commented on issue #5013: Revert "[Torch, QNN] Add support for
quantized models via QNN (#4977)"
URL: https://github.com/apache/incubator-tvm/pull/5013#issuecomment-596757362
@masahi can you please follow-up with re-submission of your PR?
---
tqchen edited a comment on issue #4951: Conditions updated to cover better user
scenarios
URL: https://github.com/apache/incubator-tvm/pull/4951#issuecomment-596750643
This PR is among one of the PRs affected by the github squash commit bug. We
take every contribution serious in the TVM co
anijain2305 merged pull request #5013: Revert "[Torch, QNN] Add support for
quantized models via QNN (#4977)"
URL: https://github.com/apache/incubator-tvm/pull/5013
This is an automated message from the Apache Git Service.
T
anijain2305 commented on issue #5013: Revert "[Torch, QNN] Add support for
quantized models via QNN (#4977)"
URL: https://github.com/apache/incubator-tvm/pull/5013#issuecomment-596757045
Thanks @tqchen this is merged
This is
tqchen commented on issue #4931: Tighten split's extent
URL: https://github.com/apache/incubator-tvm/pull/4931#issuecomment-596757101
This PR is among one of the PRs affected by the github squash commit bug. We
take every contribution serious in the TVM community. The community has decided
This is an automated email from the ASF dual-hosted git repository.
anijain2305 pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-tvm.git.
from 6ee9c2f typo (#5008)
add f346c60 Revert "[Torch, QNN] Add support for quantized models via QNN
(#
tqchen commented on issue #4977: [Torch, QNN] Add support for quantized models
via QNN
URL: https://github.com/apache/incubator-tvm/pull/4977#issuecomment-596756472
This PR is among one of the PRs affected by the github squash commit bug. We
take every contribution serious in the TVM commu
tqchen edited a comment on issue #4951: Conditions updated to cover better user
scenarios
URL: https://github.com/apache/incubator-tvm/pull/4951#issuecomment-596750643
Hi everyone. This PR is among one of the PRs affected by the github squash
commit bug. See background here
https://discus
notoraptor commented on issue #4938: [topi][relay] add operation tan to TVM
URL: https://github.com/apache/incubator-tvm/pull/4938#issuecomment-596751590
Hi @tqchen ! OK for that.
Anyway, if it causes some problems, then we can just let things as it is, as
my main goal was just to ma
tqchen commented on issue #4951: Conditions updated to cover better user
scenarios
URL: https://github.com/apache/incubator-tvm/pull/4951#issuecomment-596750643
Hi everyone. This PR is among one of the PRs affected by the github squash
commit bug. See background here
https://discuss.tvm.a
tqchen opened a new issue #5015: [DEV] Amend Github Attribution Bug
URL: https://github.com/apache/incubator-tvm/issues/5015
See background here
https://discuss.tvm.ai/t/response-to-github-author-attribution-bug/5909
On Mar 5th 2020, github changed the the squash merge behavior, whic
tqchen commented on issue #4938: [topi][relay] add operation tan to TVM
URL: https://github.com/apache/incubator-tvm/pull/4938#issuecomment-596747804
Hi @notoraptor @kevinthesun The community has reach a concensus to correct
the github author attribution problem by reverting the affected PR
This is an automated email from the ASF dual-hosted git repository.
tqchen pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-tvm.git.
from 450f716 [Runtime] MISRA-C compliant TVM runtime (#3934)
add 6ee9c2f typo (#5008)
No new revisions were
tqchen merged pull request #5008: typo
URL: https://github.com/apache/incubator-tvm/pull/5008
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jmorrill commented on issue #4968: [TOPI][CUDA] Teak CUDA injective scheduler
URL: https://github.com/apache/incubator-tvm/pull/4968#issuecomment-596717519
> @jmorrill Could you help review #4983 first? This PR exposed a bug in TVM
codegen. #4983 fixed it. Thanks!
In addition to #498
wpan11nv commented on issue #4983: [CodeGen][CUDA] Enhance CUDA codegen for
SelectNode
URL: https://github.com/apache/incubator-tvm/pull/4983#issuecomment-596715298
> While I am not qualified to give a review of this, I have applied your
changes on this PR and it I was able to compile a mx
wpan11nv commented on issue #4983: [CodeGen][CUDA] Enhance CUDA codegen for
SelectNode
URL: https://github.com/apache/incubator-tvm/pull/4983#issuecomment-596714625
@vinx13 Could you help review this PR?
This is an automated
jmorrill commented on issue #4983: [CodeGen][CUDA] Enhance CUDA codegen for
SelectNode
URL: https://github.com/apache/incubator-tvm/pull/4983#issuecomment-596712676
> Kindly ping. Can someone help review this PR?
@wpan11nv, I think you have to tag some reviewers from here:
https://git
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