cchung100m edited a comment on issue #4271: [Relay][Frontend][ONNX] operator
support: DepthToSpace, SpaceToDepth
URL: https://github.com/apache/incubator-tvm/pull/4271#issuecomment-552075617
Hi @jwfromm
Thanks for the suggestion and I change the code of testing loop.
However,
cchung100m edited a comment on issue #4271: [Relay][Frontend][ONNX] operator
support: DepthToSpace, SpaceToDepth
URL: https://github.com/apache/incubator-tvm/pull/4271#issuecomment-552075617
Hi @jwfromm
Thanks for the suggestion and I had changed the code of testing loop.
How
cchung100m commented on issue #4271: [Relay][Frontend][ONNX] operator support:
DepthToSpace, SpaceToDepth
URL: https://github.com/apache/incubator-tvm/pull/4271#issuecomment-552075617
Hi @jwfromm
Thanks for the suggestion and I had changed the code of testing loop.
However, I
u99127 commented on issue #4292: Retain qnn input kernel scales
URL: https://github.com/apache/incubator-tvm/pull/4292#issuecomment-552075218
>
>
> Overall LGTM. The only change I request is changing the name to
input_scale and kernel_scale. I have similar naming elsewhere, so will
anijain2305 commented on issue #4249: [TOPI][AlterOpLayout][ARM] Enabling NHWC
to NCHW layout transformation.
URL: https://github.com/apache/incubator-tvm/pull/4249#issuecomment-552074719
@jackwish It will be good if you could review this as well :)
u99127 opened a new pull request #4292: Retain qnn input kernel scales
URL: https://github.com/apache/incubator-tvm/pull/4292
The QNN dialect loses the input tensor scale and the weight
tensor scale too early. This inhibits the work one could do
with integrating 3rd party codegen or li
wweic opened a new issue #4291: [Prelude][Relay] Add utility function to
extract tensor from prelude tensor_t
URL: https://github.com/apache/incubator-tvm/issues/4291
`tensor_t` in prelude is a type that wraps variable rank tensor with
variable shape. Like, `tensor_array_concat` will retur
yzhliu opened a new pull request #4290: Rename ml.dmlc.tvm to org.apache.tvm
URL: https://github.com/apache/incubator-tvm/pull/4290
@tqchen
This is an automated message from the Apache Git Service.
To respond to the messa
FrozenGene commented on issue #4282: Add test for the qnn_add operator
URL: https://github.com/apache/incubator-tvm/pull/4282#issuecomment-552069295
> If I understand tolerance correctly, I think atol of 1 is good for
integers and current implementation. Let me know if I am wrong.
>
FrozenGene commented on issue #4281: [RUTNIME] Support C++ RPC
URL: https://github.com/apache/incubator-tvm/pull/4281#issuecomment-552068563
> split then check creates additional data structures such as vector and
string(additional data structures), which can be avoided as you can simply do
wweic commented on a change in pull request #4287: [TF][Relay][Op] Pass module
when infer shape
URL: https://github.com/apache/incubator-tvm/pull/4287#discussion_r344429813
##
File path: python/tvm/relay/frontend/common.py
##
@@ -451,20 +451,27 @@ def get_name(node):
wweic commented on a change in pull request #4287: [TF][Relay][Op] Pass module
when infer shape
URL: https://github.com/apache/incubator-tvm/pull/4287#discussion_r344429675
##
File path: python/tvm/relay/frontend/tensorflow.py
##
@@ -90,6 +90,12 @@ def _get_list_param(para
junrushao1994 commented on issue #4289: [RUNTIME][REFACTOR] Use object protocol
to support runtime::Module
URL: https://github.com/apache/incubator-tvm/pull/4289#issuecomment-552062951
Will do this Sunday
This is an automated
jwfromm commented on issue #4271: [Relay][Frontend][ONNX] operator support:
DepthToSpace, SpaceToDepth
URL: https://github.com/apache/incubator-tvm/pull/4271#issuecomment-552056942
Although your changes to the tests removing the hardcoding are definitely in
the right direction, I think we
icemelon9 commented on a change in pull request #4287: [TF][Relay][Op] Pass
module when infer shape
URL: https://github.com/apache/incubator-tvm/pull/4287#discussion_r344421852
##
File path: python/tvm/relay/frontend/common.py
##
@@ -451,20 +451,27 @@ def get_name(node):
minminsun commented on issue #4234: Auto TensorCore CodeGen
URL: https://github.com/apache/incubator-tvm/pull/4234#issuecomment-552050894
Hi @Laurawly, could you please help to review the updates? Thank you!
This is an automat
minminsun commented on a change in pull request #4234: Auto TensorCore CodeGen
URL: https://github.com/apache/incubator-tvm/pull/4234#discussion_r344420309
##
File path: src/pass/tensor_core.cc
##
@@ -0,0 +1,1247 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) u
yongwww commented on a change in pull request #4287: [TF][Relay][Op] Pass
module when infer shape
URL: https://github.com/apache/incubator-tvm/pull/4287#discussion_r344418376
##
File path: python/tvm/relay/frontend/tensorflow.py
##
@@ -90,6 +90,12 @@ def _get_list_param(pa
tqchen opened a new pull request #4289: [RUNTIME][REFACTOR] Use object protocol
to support runtime::Module
URL: https://github.com/apache/incubator-tvm/pull/4289
Previously runtime::Module was supported using shared_ptr.
This PR refactors the codebase to use the Object protocol.
I
tqchen commented on issue #4289: [RUNTIME][REFACTOR] Use object protocol to
support runtime::Module
URL: https://github.com/apache/incubator-tvm/pull/4289#issuecomment-552045007
cc @jroesch @junrushao1994 @yzhliu
This is an
tqchen commented on issue #4259: [DEV][DRAFT] TVM v0.6 Release candidate
URL: https://github.com/apache/incubator-tvm/issues/4259#issuecomment-552038806
Yes, we can do that
This is an automated message from the Apache Git Serv
Rphaet0n opened a new issue #4288: [Relay][Feature] CoreML MLModel
PipelineClassifier support
URL: https://github.com/apache/incubator-tvm/issues/4288
Now Core ML (>= 2.0) models created using Create ML framework for image
classification have [PipelineClassifier
](https://apple.github.io/
yzhliu commented on issue #4259: [DEV][DRAFT] TVM v0.6 Release candidate
URL: https://github.com/apache/incubator-tvm/issues/4259#issuecomment-552027579
@tqchen Shall we print warning message when ppl use nnvm?
This is an auto
yzhliu commented on a change in pull request #4268: [Codegen][cuda-fp16]
fallback to fp32 simulation when cuda arch < sm53
URL: https://github.com/apache/incubator-tvm/pull/4268#discussion_r344391770
##
File path: src/codegen/codegen_cuda.cc
##
@@ -50,6 +50,9 @@ void CodeG
wweic opened a new pull request #4287: [TF][Relay][Op] Pass module when infer
shape
URL: https://github.com/apache/incubator-tvm/pull/4287
The existing tests should be sufficient to validate this change. It's not
easy to craft a unit test case that failed before and pass after this change.
tqchen commented on issue #4259: [DEV][DRAFT] TVM v0.6 Release candidate
URL: https://github.com/apache/incubator-tvm/issues/4259#issuecomment-552003171
wrt to nnvm. Our original proposal is to keep nnvm until v0.6 release. Which
means nnvm will appear in v0.6 with limited support(the legac
yzhliu commented on issue #4259: [DEV][DRAFT] TVM v0.6 Release candidate
URL: https://github.com/apache/incubator-tvm/issues/4259#issuecomment-552002504
I updated the issue, please let us know if anything's missing.
(I didn't include "Build and Test" and "Bug fixes" section as the entire
tqchen commented on issue #4286: [RFC] Use Object Protocol to Support
runtime::Module
URL: https://github.com/apache/incubator-tvm/issues/4286#issuecomment-552001542
previous discussions here
https://discuss.tvm.ai/t/discuss-use-object-protocol-for-module-ndarray/4583
tqchen opened a new issue #4286: [RFC] Use Object Protocol to Support
runtime::Module
URL: https://github.com/apache/incubator-tvm/issues/4286
The [unified object protocol](https://github.com/dmlc/tvm/issues/4116) is
now used by almost all of our runtime objects. However, there are still t
ajtulloch commented on issue #4277: [ARM][Topi] Improving Int8 Perf in Spatial
Conv2D schedule.
URL: https://github.com/apache/incubator-tvm/pull/4277#issuecomment-551993046
@FrozenGene wow, those are very impressive results. Congratulations, looking
forward to the talk and the code :)
--
tqchen commented on issue #4281: [RUTNIME] Support C++ RPC
URL: https://github.com/apache/incubator-tvm/pull/4281#issuecomment-551981112
split then check creates additional data structures such as vector and
string(additional data structures), which can be avoided as you can simply do
ist
FrozenGene commented on a change in pull request #4281: [RUTNIME] Support C++
RPC
URL: https://github.com/apache/incubator-tvm/pull/4281#discussion_r344347686
##
File path: apps/cpp_rpc/rpc_server.cc
##
@@ -0,0 +1,363 @@
+/*
+ * Licensed to the Apache Software Foundation (
FrozenGene commented on a change in pull request #4281: [RUTNIME] Support C++
RPC
URL: https://github.com/apache/incubator-tvm/pull/4281#discussion_r344347149
##
File path: apps/cpp_rpc/rpc_env.h
##
@@ -0,0 +1,84 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF)
FrozenGene commented on issue #4281: [RUTNIME] Support C++ RPC
URL: https://github.com/apache/incubator-tvm/pull/4281#issuecomment-551969728
@tqchen Wish I have solved many comments. I also replace SelectHelper into
PoolHelper.
Remained:
Ideally, we should just use std::istringstr
anijain2305 edited a comment on issue #4249: [TOPI][AlterOpLayout][ARM]
Enabling NHWC to NCHW layout transformation.
URL: https://github.com/apache/incubator-tvm/pull/4249#issuecomment-551966857
@FrozenGene I made it work. The workload had to be modified. I tried with my
2 conv network. It
anijain2305 commented on issue #4249: [TOPI][AlterOpLayout][ARM] Enabling NHWC
to NCHW layout transformation.
URL: https://github.com/apache/incubator-tvm/pull/4249#issuecomment-551966857
@FrozenGene I made it work. The workload had to be modified. I tried with my
2 conv network. It finish
tqchen edited a comment on issue #4280: [tvm][runtime] A minimum runtime for
external library
URL: https://github.com/apache/incubator-tvm/pull/4280#issuecomment-551960356
As a followup thread about what we might be able to benefit from in terms of
external module, it would be great if we
tqchen commented on issue #4280: [tvm][runtime] A minimum runtime for external
library
URL: https://github.com/apache/incubator-tvm/pull/4280#issuecomment-551960356
As a followup thread about what we might be able to benefit from in terms of
external module, it would be great if we have an
tqchen edited a comment on issue #4280: [tvm][runtime] A minimum runtime for
external library
URL: https://github.com/apache/incubator-tvm/pull/4280#issuecomment-551957000
To followup on the discussion thread. While we understand that the current
PR achieves the purpose of supporting exter
tqchen edited a comment on issue #4280: [tvm][runtime] A minimum runtime for
external library
URL: https://github.com/apache/incubator-tvm/pull/4280#issuecomment-551957000
To followup on the discussion thread. While we understand that the current
PR achieves the purpose of supporting exter
tqchen edited a comment on issue #4280: [tvm][runtime] A minimum runtime for
external library
URL: https://github.com/apache/incubator-tvm/pull/4280#issuecomment-551957000
To followup on the discussion thread. While we understand that the current
PR achieves the purpose of supporting exter
tqchen edited a comment on issue #4280: [tvm][runtime] A minimum runtime for
external library
URL: https://github.com/apache/incubator-tvm/pull/4280#issuecomment-551957000
To followup on the discussion thread. While we understand that the current
PR achieves the purpose of supporting exter
tqchen commented on issue #4280: [tvm][runtime] A minimum runtime for external
library
URL: https://github.com/apache/incubator-tvm/pull/4280#issuecomment-551957000
To followup on the discussion thread. While we understand that the current
PR achieves the purpose of supporting external lib
kevinthesun opened a new pull request #4285: Fix tf reshape
URL: https://github.com/apache/incubator-tvm/pull/4285
Move symbolic related logic after infer value is failed.
This is an automated message from the Apache Git S
anijain2305 commented on issue #4249: [TOPI][AlterOpLayout][ARM] Enabling NHWC
to NCHW layout transformation.
URL: https://github.com/apache/incubator-tvm/pull/4249#issuecomment-551951671
I tried to call AtlerOpLayout() before extracting the tasks, it was able to
extract the NCHW convs and
adityaatluri commented on a change in pull request #4234: Auto TensorCore
CodeGen
URL: https://github.com/apache/incubator-tvm/pull/4234#discussion_r344321090
##
File path: src/pass/tensor_core.cc
##
@@ -0,0 +1,1247 @@
+/*
+ * Licensed to the Apache Software Foundation (AS
anijain2305 commented on a change in pull request #4282: Add test for the
qnn_add operator
URL: https://github.com/apache/incubator-tvm/pull/4282#discussion_r344305651
##
File path: tests/python/frontend/tflite/test_forward.py
##
@@ -624,17 +661,23 @@ def _test_greater(dat
anijain2305 commented on a change in pull request #4282: Add test for the
qnn_add operator
URL: https://github.com/apache/incubator-tvm/pull/4282#discussion_r344304495
##
File path: tests/python/frontend/tflite/test_forward.py
##
@@ -545,34 +561,55 @@ def test_forward_conc
anijain2305 commented on issue #4282: Add test for the qnn_add operator
URL: https://github.com/apache/incubator-tvm/pull/4282#issuecomment-551935940
If I understand tolerance correctly, I think atol of 1 is good for integers
and current implementation. Let me know if I am wrong.
For
tqchen commented on issue #4284: [TEST][FLAKY]
darknet/test_forward.py::test_forward_conv_batch_norm
URL: https://github.com/apache/incubator-tvm/issues/4284#issuecomment-551929915
cc @srkreddy1238 can you take a look?
This i
tqchen opened a new issue #4284: [TEST][FLAKY]
tests/python/frontend/darknet/test_forward.py::test_forward_conv_batch_norm
URL: https://github.com/apache/incubator-tvm/issues/4284
http://ci.tvm.ai:8080/blue/rest/organizations/jenkins/pipelines/tvm/branches/master/runs/12/nodes/239/log/?sta
tqchen commented on issue #4281: [RUTNIME] Support C++ RPC
URL: https://github.com/apache/incubator-tvm/pull/4281#issuecomment-551928185
@weberlo @srkreddy1238 @snowolfhawk it would be great if you can also help
to review the PR
-
tqchen commented on a change in pull request #4281: [RUTNIME] Support C++ RPC
URL: https://github.com/apache/incubator-tvm/pull/4281#discussion_r344291688
##
File path: src/common/socket.h
##
@@ -62,6 +65,25 @@ inline std::string GetHostName() {
return std::string(buf.c_
tqchen commented on a change in pull request #4281: [RUTNIME] Support C++ RPC
URL: https://github.com/apache/incubator-tvm/pull/4281#discussion_r344288316
##
File path: apps/cpp_rpc/rpc_env.h
##
@@ -0,0 +1,84 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under
tqchen commented on a change in pull request #4281: [RUTNIME] Support C++ RPC
URL: https://github.com/apache/incubator-tvm/pull/4281#discussion_r344289337
##
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##
@@ -0,0 +1,363 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF)
tqchen commented on a change in pull request #4281: [RUTNIME] Support C++ RPC
URL: https://github.com/apache/incubator-tvm/pull/4281#discussion_r344290589
##
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##
@@ -0,0 +1,363 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF)
tqchen commented on a change in pull request #4281: [RUTNIME] Support C++ RPC
URL: https://github.com/apache/incubator-tvm/pull/4281#discussion_r344292628
##
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##
@@ -468,7 +524,134 @@ class TCPSocket : public Socket {
}
return ndone;
tqchen commented on a change in pull request #4281: [RUTNIME] Support C++ RPC
URL: https://github.com/apache/incubator-tvm/pull/4281#discussion_r344289079
##
File path: apps/cpp_rpc/rpc_server.cc
##
@@ -0,0 +1,363 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF)
tqchen commented on a change in pull request #4281: [RUTNIME] Support C++ RPC
URL: https://github.com/apache/incubator-tvm/pull/4281#discussion_r344291055
##
File path: src/common/socket.h
##
@@ -62,6 +65,25 @@ inline std::string GetHostName() {
return std::string(buf.c_
tqchen commented on a change in pull request #4281: [RUTNIME] Support C++ RPC
URL: https://github.com/apache/incubator-tvm/pull/4281#discussion_r344293873
##
File path: apps/cpp_rpc/rpc_env.cc
##
@@ -0,0 +1,248 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) und
tqchen commented on a change in pull request #4281: [RUTNIME] Support C++ RPC
URL: https://github.com/apache/incubator-tvm/pull/4281#discussion_r344288617
##
File path: apps/cpp_rpc/rpc_env.h
##
@@ -0,0 +1,84 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under
tqchen commented on a change in pull request #4281: [RUTNIME] Support C++ RPC
URL: https://github.com/apache/incubator-tvm/pull/4281#discussion_r344290100
##
File path: apps/cpp_rpc/rpc_server.cc
##
@@ -0,0 +1,363 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF)
tqchen commented on a change in pull request #4281: [RUTNIME] Support C++ RPC
URL: https://github.com/apache/incubator-tvm/pull/4281#discussion_r344289033
##
File path: apps/cpp_rpc/rpc_server.cc
##
@@ -0,0 +1,363 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF)
tqchen commented on a change in pull request #4281: [RUTNIME] Support C++ RPC
URL: https://github.com/apache/incubator-tvm/pull/4281#discussion_r344288861
##
File path: apps/cpp_rpc/rpc_server.cc
##
@@ -0,0 +1,363 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF)
tqchen commented on a change in pull request #4281: [RUTNIME] Support C++ RPC
URL: https://github.com/apache/incubator-tvm/pull/4281#discussion_r344288460
##
File path: apps/cpp_rpc/rpc_env.h
##
@@ -0,0 +1,84 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under
tqchen commented on a change in pull request #4281: [RUTNIME] Support C++ RPC
URL: https://github.com/apache/incubator-tvm/pull/4281#discussion_r344293102
##
File path: apps/cpp_rpc/rpc_tracker_client.h
##
@@ -0,0 +1,249 @@
+/*
+ * Licensed to the Apache Software Foundation
tqchen commented on a change in pull request #4281: [RUTNIME] Support C++ RPC
URL: https://github.com/apache/incubator-tvm/pull/4281#discussion_r344289224
##
File path: apps/cpp_rpc/rpc_server.cc
##
@@ -0,0 +1,363 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF)
tqchen commented on a change in pull request #4281: [RUTNIME] Support C++ RPC
URL: https://github.com/apache/incubator-tvm/pull/4281#discussion_r344292057
##
File path: src/common/socket.h
##
@@ -62,6 +65,25 @@ inline std::string GetHostName() {
return std::string(buf.c_
tqchen commented on a change in pull request #4281: [RUTNIME] Support C++ RPC
URL: https://github.com/apache/incubator-tvm/pull/4281#discussion_r344289299
##
File path: apps/cpp_rpc/rpc_server.cc
##
@@ -0,0 +1,363 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF)
tqchen commented on a change in pull request #4281: [RUTNIME] Support C++ RPC
URL: https://github.com/apache/incubator-tvm/pull/4281#discussion_r344288389
##
File path: apps/cpp_rpc/rpc_env.h
##
@@ -0,0 +1,84 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under
weberlo edited a comment on issue #4274: [µTVM] Enable AutoTVM for ARM
STM32F746XX Boards
URL: https://github.com/apache/incubator-tvm/pull/4274#issuecomment-551330769
@tqchen It looks like the CI doesn't allow assembly---namely,
[utvm_init.s](https://github.com/apache/incubator-tvm/pull/4
yzhliu commented on issue #4104: Fix the TF tutorial to run against TF2.0 and
TF1.x
URL: https://github.com/apache/incubator-tvm/pull/4104#issuecomment-551897488
@ic could you retrigger the CI by push a trivial commit?
This i
inadob commented on issue #4283: Add support for quant. mul operator in tflite
frontend
URL: https://github.com/apache/incubator-tvm/pull/4283#issuecomment-551878667
@kevinthesun @FrozenGene can you please take a look at this?
--
inadob opened a new pull request #4283: Add support for quant. mul operator in
tflite frontend
URL: https://github.com/apache/incubator-tvm/pull/4283
A test for qnn_mul has to be added when the qnn elemwise tests (#4282) get
merged.
yangjunpro commented on a change in pull request #4234: Auto TensorCore CodeGen
URL: https://github.com/apache/incubator-tvm/pull/4234#discussion_r344225553
##
File path: src/pass/tensor_core.cc
##
@@ -0,0 +1,1247 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF)
cchung100m commented on a change in pull request #4271: [Relay][Frontend][ONNX]
operator support: DepthToSpace, SpaceToDepth
URL: https://github.com/apache/incubator-tvm/pull/4271#discussion_r344206710
##
File path: tests/python/frontend/onnx/test_forward.py
##
@@ -142,6 +
cchung100m commented on a change in pull request #4271: [Relay][Frontend][ONNX]
operator support: DepthToSpace, SpaceToDepth
URL: https://github.com/apache/incubator-tvm/pull/4271#discussion_r344206403
##
File path: python/tvm/relay/frontend/onnx.py
##
@@ -466,6 +466,76 @@
FrozenGene commented on issue #4259: [DEV][DRAFT] TVM v0.6 Release candidate
URL: https://github.com/apache/incubator-tvm/issues/4259#issuecomment-551657497
Though C++ RPC haven't been reviewed, but personally, I wish C++ RPC
https://github.com/apache/incubator-tvm/pull/4281 could enter int
FrozenGene edited a comment on issue #4259: [DEV][DRAFT] TVM v0.6 Release
candidate
URL: https://github.com/apache/incubator-tvm/issues/4259#issuecomment-551657497
Though C++ RPC haven't been reviewed, personally, I wish C++ RPC
https://github.com/apache/incubator-tvm/pull/4281 could enter
JuanIsernGhosn commented on issue #4009: [RFC] 3D model support
URL: https://github.com/apache/incubator-tvm/issues/4009#issuecomment-551604526
That's a great idea. It would be a great advance to include support for 3D
models.
---
FrozenGene commented on issue #4282: Add test for the qnn_add operator
URL: https://github.com/apache/incubator-tvm/pull/4282#issuecomment-551539810
@inadob Thanks for improvement. Abs tolerance up to 1 doesn't make sense. I
think it should be the problem I discuss with @anijain2305 :
http
inadob commented on issue #4282: Add test for the qnn_add operator
URL: https://github.com/apache/incubator-tvm/pull/4282#issuecomment-551508197
@FrozenGene @anijain2305 can you please review this patch
This is an automated m
inadob opened a new pull request #4282: Add test for the qnn_add operator
URL: https://github.com/apache/incubator-tvm/pull/4282
The tests use fake quant approach so until the tf session, tensors remain in
float32.
The test data has to be passed in uint8 because of how the tflite/tvm
co
DaniDeniz commented on issue #4009: [RFC] 3D model support
URL: https://github.com/apache/incubator-tvm/issues/4009#issuecomment-551452672
I am interested in running 3D networks!
Thank you
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comaniac commented on issue #4276: [TOPI][CUDA] Fix Winograd Kernel Size Support
URL: https://github.com/apache/incubator-tvm/pull/4276#issuecomment-551436043
>
> @comaniac
>
> * It is normal to have increased error when tile size are beyond (3x3) in
case of winograd.
Than
cbalint13 commented on issue #4276: [TOPI][CUDA] Fix Winograd Kernel Size
Support
URL: https://github.com/apache/incubator-tvm/pull/4276#issuecomment-551433546
> Thanks for the suggestion. The unit test has been added and I've confirmed
the unit test covers the desire part.
>
> One
yzhliu merged pull request #4278: Fix the problem that android_rpc compilation
failed
URL: https://github.com/apache/incubator-tvm/pull/4278
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liuyizhi pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-tvm.git.
from 76b7967 [TOPI][CUDA] Fix Winograd Kernel Size Support (#4276)
add 281f643 Update tvm_runtime.h (#4278
yzhliu commented on issue #4278: Fix the problem that android_rpc compilation
failed
URL: https://github.com/apache/incubator-tvm/pull/4278#issuecomment-551432237
Thanks @PeikeLi
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