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wkcn pushed a commit to branch v1.5.x
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git
The following commit(s) were added to refs/heads/v1.5.x by this push:
new 804403e Fix the bug of
wkcn merged pull request #15792: [Backport][v1.5.x] Fix the bug of
`MXEnginePushAsyncND` and `MXEnginePushSyncND`
URL: https://github.com/apache/incubator-mxnet/pull/15792
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ChaiBapchya opened a new pull request #15794: Add power, exponent, log ops
large tensor support
URL: https://github.com/apache/incubator-mxnet/pull/15794
## Description ##
Added large tensor support to follow ops
Exponent & Log - exp,expm1, log, log2, log10, log1p
Power - sqrt,
apeforest commented on a change in pull request #15593: Large Index Support for
Slice
URL: https://github.com/apache/incubator-mxnet/pull/15593#discussion_r311864007
##
File path: tests/nightly/test_large_vector.py
##
@@ -0,0 +1,37 @@
+# Licensed to the Apache Software
apeforest commented on a change in pull request #15593: Large Index Support for
Slice
URL: https://github.com/apache/incubator-mxnet/pull/15593#discussion_r311863890
##
File path: src/c_api/c_api_symbolic.cc
##
@@ -528,7 +528,7 @@ int MXSymbolInferShape(SymbolHandle sym,
apeforest commented on a change in pull request #15593: Large Index Support for
Slice
URL: https://github.com/apache/incubator-mxnet/pull/15593#discussion_r311863514
##
File path: python/mxnet/symbol/symbol.py
##
@@ -52,6 +52,7 @@
"ones", "full", "arange",
apeforest commented on a change in pull request #15593: Large Index Support for
Slice
URL: https://github.com/apache/incubator-mxnet/pull/15593#discussion_r311863319
##
File path: include/mxnet/c_api.h
##
@@ -1582,6 +1660,22 @@ MXNET_DLL int
apeforest commented on a change in pull request #15593: Large Index Support for
Slice
URL: https://github.com/apache/incubator-mxnet/pull/15593#discussion_r311862760
##
File path: src/c_api/c_api_symbolic.cc
##
@@ -585,6 +585,78 @@ int MXSymbolInferShape(SymbolHandle sym,
apeforest commented on a change in pull request #15593: Large Index Support for
Slice
URL: https://github.com/apache/incubator-mxnet/pull/15593#discussion_r311862462
##
File path: src/c_api/c_api_symbolic.cc
##
@@ -585,6 +585,78 @@ int MXSymbolInferShape(SymbolHandle sym,
apeforest commented on a change in pull request #15593: Large Index Support for
Slice
URL: https://github.com/apache/incubator-mxnet/pull/15593#discussion_r311859584
##
File path: src/c_api/c_api_common.h
##
@@ -57,6 +57,7 @@
using namespace mxnet;
/*! \brief entry to
KellenSunderland commented on issue #15613: [Discussion] 1.5.1 Patch Release
URL:
https://github.com/apache/incubator-mxnet/issues/15613#issuecomment-519368787
What's the issue with MShadow? Did they have to do a force push / history
re-write again? We may indeed have to backport that
apeforest commented on a change in pull request #15593: Large Index Support for
Slice
URL: https://github.com/apache/incubator-mxnet/pull/15593#discussion_r311859462
##
File path: src/c_api/c_api.cc
##
@@ -537,20 +557,18 @@ int MXNDArrayGetShape(NDArrayHandle handle,
apeforest commented on a change in pull request #15593: Large Index Support for
Slice
URL: https://github.com/apache/incubator-mxnet/pull/15593#discussion_r311859169
##
File path: src/c_api/c_api.cc
##
@@ -537,20 +557,18 @@ int MXNDArrayGetShape(NDArrayHandle handle,
apeforest commented on a change in pull request #15593: Large Index Support for
Slice
URL: https://github.com/apache/incubator-mxnet/pull/15593#discussion_r311858351
##
File path: src/c_api/c_api.cc
##
@@ -174,48 +174,68 @@ int MXNDArrayCreateNone(NDArrayHandle *out) {
vdantu commented on issue #15787: RuntimeError: Cannot find the MXNet library.
URL:
https://github.com/apache/incubator-mxnet/issues/15787#issuecomment-519366492
@mxnet-label-bot add [question]
As @larroy suggested, you would have to build the project first before you
install the
vdantu commented on issue #15788: mxnet convert to onnx: No conversion function
registered for op type null yet.
URL:
https://github.com/apache/incubator-mxnet/issues/15788#issuecomment-519366126
@mxnet-label-bot add [onnx, question]
@vandanavk would you be able to answer this?
vdantu commented on issue #15784: Simple_Bind failure in 1.5.0
URL:
https://github.com/apache/incubator-mxnet/issues/15784#issuecomment-519365567
@samskalicky : Should this be closed? I see that the PR responsible for the
fix is being tracked in the Patch Release discussion.
vdantu commented on issue #15793: onnx2mx error.
URL:
https://github.com/apache/incubator-mxnet/issues/15793#issuecomment-519364998
@mxnet-label-bot add [onnx, question]
@vandanavk would you be able to help here?
This is
vdantu commented on issue #15791: fail to install mxnet r package within r
3.5.3 under ubuntu 16.04.6
URL:
https://github.com/apache/incubator-mxnet/issues/15791#issuecomment-519364841
@mxnet-label-bot add [R, build, question]
@anirudhacharya Would you be able to answer this question?
TaoLv commented on issue #15613: [Discussion] 1.5.1 Patch Release
URL:
https://github.com/apache/incubator-mxnet/issues/15613#issuecomment-519364786
> > > we also need to update mshadow on 1.5.x branch #15600
> >
> >
> > @szha is this needed?
>
> @TaoLv without this when
samskalicky commented on issue #15613: [Discussion] 1.5.1 Patch Release
URL:
https://github.com/apache/incubator-mxnet/issues/15613#issuecomment-519360804
> > we also need to update mshadow on 1.5.x branch #15600
>
> @szha is this needed?
@TaoLv without this when you checkout
zerofo opened a new issue #15793: onnx2mx error.
URL: https://github.com/apache/incubator-mxnet/issues/15793
docker images: ngc mxnet 19.07-py3(ubuntu18.04 )
use keras2onnx(master ver. and upgrade onnxconverter-common) on this repo
https://github.com/bedapudi6788/NudeNet-models
it
wkcn commented on issue #15775: [Backport][v1.5.x] Fix the bug of
`MXEnginePushAsyncND` and `MXEnginePushSyncND`
URL: https://github.com/apache/incubator-mxnet/pull/15775#issuecomment-519347358
Hi @TaoLv , I have created a new PR #15792 committed by cherry-pick.
wkcn opened a new pull request #15792: [Backport][v1.5.x] Fix the bug of
`MXEnginePushAsyncND` and `MXEnginePushSyncND`
URL: https://github.com/apache/incubator-mxnet/pull/15792
## Description ##
Fix the bug of `MXEnginePushAsyncND` and `MXEnginePushSyncND` in v1.5.x
release
This is an automated email from the ASF dual-hosted git repository.
wkcn pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git
The following commit(s) were added to refs/heads/master by this push:
new 79d8d86 Fix the bug of
wkcn merged pull request #15751: Fix the bug of `MXEnginePushAsyncND` and
`MXEnginePushSyncND`
URL: https://github.com/apache/incubator-mxnet/pull/15751
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XiangyunHuang opened a new issue #15791: fail to install mxnet r package within
r 3.5.3 under ubuntu 16.04.6
URL: https://github.com/apache/incubator-mxnet/issues/15791
## Description
1. download and compile mxnet
```bash
git clone --recursive
mxnet-label-bot commented on issue #15791: fail to install mxnet r package
within r 3.5.3 under ubuntu 16.04.6
URL:
https://github.com/apache/incubator-mxnet/issues/15791#issuecomment-519345570
Hey, this is the MXNet Label Bot.
Thank you for submitting the issue! I will try and
haojin2 commented on issue #15581: Numpy-compatible Infra
URL: https://github.com/apache/incubator-mxnet/pull/15581#issuecomment-519342741
CI passed with the recovery of `data.mxnet.io`, merging now.
This is an automated
haojin2 merged pull request #15581: Numpy-compatible Infra
URL: https://github.com/apache/incubator-mxnet/pull/15581
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larroy commented on issue #15787: RuntimeError: Cannot find the MXNet library.
URL:
https://github.com/apache/incubator-mxnet/issues/15787#issuecomment-519339493
You have to compile the project first. Are you building from source?
Please follow docs here:
larroy commented on issue #15790: Can't train CIFAR10 with debug flag using
CMake / GPU / MKL
URL:
https://github.com/apache/incubator-mxnet/issues/15790#issuecomment-519339292
@mxnet-label-bot add [Bug, Build, CMake]
This
larroy opened a new issue #15790: Can't train CIFAR10 with debug flag using
CMake / GPU / MKL
URL: https://github.com/apache/incubator-mxnet/issues/15790
## Description
train cifar_10 doesn't seem to make any progress when MXNet is built with
CMake and debug flags.
##
mxnet-label-bot commented on issue #15790: Can't train CIFAR10 with debug flag
using CMake / GPU / MKL
URL:
https://github.com/apache/incubator-mxnet/issues/15790#issuecomment-519338675
Hey, this is the MXNet Label Bot.
Thank you for submitting the issue! I will try and suggest some
larroy commented on issue #15789: Can't build in debug mode with Make
URL:
https://github.com/apache/incubator-mxnet/issues/15789#issuecomment-519337978
@mxnet-label-bot add [Bug]
This is an automated message from the Apache
mxnet-label-bot commented on issue #15789: Can't build in debug mode with Make
URL:
https://github.com/apache/incubator-mxnet/issues/15789#issuecomment-519337970
Hey, this is the MXNet Label Bot.
Thank you for submitting the issue! I will try and suggest some labels so
that the
larroy commented on issue #15789: Can't build in debug mode with Make
URL:
https://github.com/apache/incubator-mxnet/issues/15789#issuecomment-519338013
@mxnet-label-bot add [Build]
This is an automated message from the
larroy opened a new issue #15789: Can't build in debug mode with Make
URL: https://github.com/apache/incubator-mxnet/issues/15789
## Description
Can't build in debug mode with Make.
## Environment info (Required)
```
--Python Info--
('Version :',
lookup1980 opened a new issue #15788: mxnet convert to onnx: No conversion
function registered for op type null yet.
URL: https://github.com/apache/incubator-mxnet/issues/15788
## Description
I tried to convert mxnet mode to onnx, but got this error: No conversion
function registered
TaoLv commented on issue #15613: [Discussion] 1.5.1 Patch Release
URL:
https://github.com/apache/incubator-mxnet/issues/15613#issuecomment-519335053
> nightly test failure need to be fixed:
> #15374
>
>
mseth10 commented on a change in pull request #15762: Refactor
LibraryInitializer so it's thread safe. Fixes random sporadical concurrency
crashes.
URL: https://github.com/apache/incubator-mxnet/pull/15762#discussion_r311830815
##
File path: src/common/utils.h
##
@@
TaoLv commented on issue #15542: License issues need to be fixed before 1.6
release
URL:
https://github.com/apache/incubator-mxnet/issues/15542#issuecomment-519332616
@roywei do you happen to know any updates for these license issues?
TaoLv commented on issue #15569: Cub license issue
URL:
https://github.com/apache/incubator-mxnet/issues/15569#issuecomment-519331992
Hi @roywei @ptrendx is this got fixed on the master branch? Do we need to
include the fix to 1.5.1 patch release?
phy12321 commented on issue #13520: Check failed: b < len (21 vs. 21) slicing
with begin[0]=21 exceends limit of 21
URL:
https://github.com/apache/incubator-mxnet/issues/13520#issuecomment-519330892
Has the issue been resolved for you? I got the same error when i want to
print or slice
larroy commented on issue #15762: Refactor LibraryInitializer so it's thread
safe. Fixes random sporadical concurrency crashes.
URL: https://github.com/apache/incubator-mxnet/pull/15762#issuecomment-519329986
@mseth10 @samskalicky
wkcn closed pull request #15775: [Backport][v1.5.x] Fix the bug of
`MXEnginePushAsyncND` and `MXEnginePushSyncND`
URL: https://github.com/apache/incubator-mxnet/pull/15775
This is an automated message from the Apache Git
wkcn commented on issue #15775: [Backport][v1.5.x] Fix the bug of
`MXEnginePushAsyncND` and `MXEnginePushSyncND`
URL: https://github.com/apache/incubator-mxnet/pull/15775#issuecomment-519329880
I see. Close this PR, and I will reopen a PR committed by cherry-pick : )
wkcn commented on issue #15775: [Backport][v1.5.x] Fix the bug of
`MXEnginePushAsyncND` and `MXEnginePushSyncND`
URL: https://github.com/apache/incubator-mxnet/pull/15775#issuecomment-519329655
@TaoLv Should I reopen a PR created by cherry-pick?
TaoLv commented on issue #15613: [Discussion] 1.5.1 Patch Release
URL:
https://github.com/apache/incubator-mxnet/issues/15613#issuecomment-519329573
> we also need to update mshadow on 1.5.x branch #15600
@szha is this needed?
TaoLv commented on issue #15613: [Discussion] 1.5.1 Patch Release
URL:
https://github.com/apache/incubator-mxnet/issues/15613#issuecomment-519329493
> #15784 needs to be fixed in 1.5.1, big impact for simple_bind. The fix is
in #15620. @TaoLv please include this too. Thanks!
Sure.
TaoLv commented on issue #15613: [Discussion] 1.5.1 Patch Release
URL:
https://github.com/apache/incubator-mxnet/issues/15613#issuecomment-519329433
> I'd like to backport a few TensorRT patches we've contributed to master.
No functional changes but they'll provide support for many
yzz-cver commented on issue #15787: RuntimeError: Cannot find the MXNet library.
URL:
https://github.com/apache/incubator-mxnet/issues/15787#issuecomment-519328591
TaoLv commented on issue #15703: Storage manager / memory usage regression in
v1.5
URL:
https://github.com/apache/incubator-mxnet/issues/15703#issuecomment-519328568
I'm not sure. I just located the issue to this commit by bisecting. The
compilation flag is not set when I built mxnet
yzz-cver opened a new issue #15787: RuntimeError: Cannot find the MXNet library.
URL: https://github.com/apache/incubator-mxnet/issues/15787
after
cd python
python setup.py install
I have encountered the following problems, please help me.
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marcoabreu pushed a commit to branch asf-site
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet-site.git
The following commit(s) were added to refs/heads/asf-site by this push:
new 3f4fbed Bump the publish
pengzhao-intel commented on issue #15780: FP16 gemm on cpu not implemented!
URL:
https://github.com/apache/incubator-mxnet/issues/15780#issuecomment-519326889
@KhurramPirov This is expected behavior on CPU where the FP16 GEMM doesn't
support.
Seems your problem is the memory leak so I
pengzhao-intel commented on issue #15767: FullyConnected op with float64 and
MKL-DNN fails if gradient are not set in a specific way
URL:
https://github.com/apache/incubator-mxnet/issues/15767#issuecomment-519325620
> @pengzhao-intel @TaoLv v1.5.0 doesn't have this issue. So don't need to
pengzhao-intel commented on issue #15706: [mkldnn-v1.0] Initiate the transition
to MKL-DNN v1.0
URL: https://github.com/apache/incubator-mxnet/pull/15706#issuecomment-519325292
Frist PR for MKL-DNN 1.0 upgrading :)
CC @sandeep-krishnamurthy @zheng-da @szha @eric-haibin-lin
wuxun-zhang commented on issue #15767: FullyConnected op with float64 and
MKL-DNN fails if gradient are not set in a specific way
URL:
https://github.com/apache/incubator-mxnet/issues/15767#issuecomment-519323609
@ZhennanQin Can we add data type check here
ChaiBapchya commented on a change in pull request #15785: Add large tensor
support binary arithmetic
URL: https://github.com/apache/incubator-mxnet/pull/15785#discussion_r311820011
##
File path: tests/nightly/test_large_array.py
##
@@ -352,6 +352,93 @@ def test_topk():
ZhennanQin commented on issue #15767: FullyConnected op with float64 and
MKL-DNN fails if gradient are not set in a specific way
URL:
https://github.com/apache/incubator-mxnet/issues/15767#issuecomment-519322278
@pengzhao-intel @TaoLv v1.5.0 doesn't have this issue. So don't need to fix
TaoLv commented on issue #15775: [Backport][v1.5.x] Fix the bug of
`MXEnginePushAsyncND` and `MXEnginePushSyncND`
URL: https://github.com/apache/incubator-mxnet/pull/15775#issuecomment-519321114
To make the git history consistent, should we cherrypick the commit to v
1.5.x after #15751
larroy commented on a change in pull request #15760: Fix PR #15489 (Dynamic
Library Loading Support)
URL: https://github.com/apache/incubator-mxnet/pull/15760#discussion_r311816516
##
File path: src/common/library.h
##
@@ -0,0 +1,57 @@
+/*
+ * Licensed to the Apache
cyrusbehr commented on issue #15520: most time cost in NDArray GetData() func
URL:
https://github.com/apache/incubator-mxnet/issues/15520#issuecomment-519318051
I am wondering the same thing. Can we omit the `WaitAll` if we are running
the `NaiveEngine`?
ZhennanQin edited a comment on issue #15767: FullyConnected op with float64 and
MKL-DNN fails if gradient are not set in a specific way
URL:
https://github.com/apache/incubator-mxnet/issues/15767#issuecomment-519317089
It's not all about float64, but about `MKLDNN` subgraph backend. The
This is an automated email from the ASF dual-hosted git repository.
zachgk pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from 07eb482 fix tvm cmake (#15781)
add a2b11ae Fix PR #15489 (Dynamic Library Loading Support) (#15760)
zachgk merged pull request #15760: Fix PR #15489 (Dynamic Library Loading
Support)
URL: https://github.com/apache/incubator-mxnet/pull/15760
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ZhennanQin commented on issue #15767: FullyConnected op with float64 and
MKL-DNN fails if gradient are not set in a specific way
URL:
https://github.com/apache/incubator-mxnet/issues/15767#issuecomment-519317089
It's not all about float64, but about `MKLDNN` subgraph backend. The problem
yzhliu commented on a change in pull request #15776: Numpy numpy op blackman
URL: https://github.com/apache/incubator-mxnet/pull/15776#discussion_r311812161
##
File path: src/operator/numpy/np_window_op.h
##
@@ -0,0 +1,143 @@
+/*
+ * Licensed to the Apache Software
KellenSunderland commented on issue #15545: Softmax fwd optimization for GPU
URL: https://github.com/apache/incubator-mxnet/pull/15545#issuecomment-519314268
@sxjscience totally agree. This would provide a lot of benefit across the
framework (for example the layernorm op).
@ptrendx
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liuyizhi pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git
The following commit(s) were added to refs/heads/master by this push:
new 07eb482 fix tvm cmake (#15781)
yzhliu commented on issue #15781: Fix minor bugs in tvm
URL: https://github.com/apache/incubator-mxnet/pull/15781#issuecomment-519310194
Thanks @hzfan
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yzhliu merged pull request #15781: Fix minor bugs in tvm
URL: https://github.com/apache/incubator-mxnet/pull/15781
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ChaiBapchya commented on issue #15786: LeNet-5 inference FAIL
URL:
https://github.com/apache/incubator-mxnet/issues/15786#issuecomment-519307615
Not sure if this is Bug on MXNet side. Since MXNet accuracy higher than
TensorRT
ban1080 edited a comment on issue #15181: [Feature Request] Support ONNX export
of MultiBox operators
URL:
https://github.com/apache/incubator-mxnet/issues/15181#issuecomment-519307238
I'm getting a "AttributeError: No conversion function registered for op type
_contrib_MultiBoxPrior
ban1080 edited a comment on issue #15181: [Feature Request] Support ONNX export
of MultiBox operators
URL:
https://github.com/apache/incubator-mxnet/issues/15181#issuecomment-519307238
I'm getting a "AttributeError: No conversion function registered for op type
_contrib_MultiBoxPrior
ban1080 commented on issue #15181: [Feature Request] Support ONNX export of
MultiBox operators
URL:
https://github.com/apache/incubator-mxnet/issues/15181#issuecomment-519307238
I'm getting a "AttributeError: No conversion function registered for op type
_contrib_MultiBoxPrior yet.".
larroy commented on issue #15516: Fix memory leak reported by ASAN in NNVM to
ONNX conversion
URL: https://github.com/apache/incubator-mxnet/pull/15516#issuecomment-519306908
I also have concerns about this line:
```
reinterpret_cast(constant));
```
larroy commented on a change in pull request #15593: Large Index Support for
Slice
URL: https://github.com/apache/incubator-mxnet/pull/15593#discussion_r311804430
##
File path: src/c_api/c_api.cc
##
@@ -174,48 +174,68 @@ int MXNDArrayCreateNone(NDArrayHandle *out) {
larroy commented on a change in pull request #15785: Add large tensor support
binary arithmetic
URL: https://github.com/apache/incubator-mxnet/pull/15785#discussion_r311802355
##
File path: tests/nightly/test_large_array.py
##
@@ -352,6 +352,93 @@ def test_topk():
larroy commented on a change in pull request #15785: Add large tensor support
binary arithmetic
URL: https://github.com/apache/incubator-mxnet/pull/15785#discussion_r311802355
##
File path: tests/nightly/test_large_array.py
##
@@ -352,6 +352,93 @@ def test_topk():
ChaiBapchya opened a new issue #15786: LeNet-5 inference FAIL
URL: https://github.com/apache/incubator-mxnet/issues/15786
PR #15783
Build pipeline -
http://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/mxnet-validation%2Funix-gpu/detail/PR-15783/6/pipeline/
```
mxnet-label-bot commented on issue #15786: LeNet-5 inference FAIL
URL:
https://github.com/apache/incubator-mxnet/issues/15786#issuecomment-519301636
Hey, this is the MXNet Label Bot.
Thank you for submitting the issue! I will try and suggest some labels so
that the appropriate MXNet
sxjscience commented on a change in pull request #15751: Fix the bug of
`MXEnginePushAsyncND` and `MXEnginePushSyncND`
URL: https://github.com/apache/incubator-mxnet/pull/15751#discussion_r311799715
##
File path: tests/cpp/engine/threaded_engine_test.cc
##
@@ -257,49
apeforest commented on a change in pull request #15785: Add large tensor
support binary arithmetic
URL: https://github.com/apache/incubator-mxnet/pull/15785#discussion_r311798914
##
File path: tests/nightly/test_large_array.py
##
@@ -352,6 +352,93 @@ def test_topk():
apeforest commented on a change in pull request #15785: Add large tensor
support binary arithmetic
URL: https://github.com/apache/incubator-mxnet/pull/15785#discussion_r311798615
##
File path: tests/nightly/test_large_array.py
##
@@ -352,6 +352,93 @@ def test_topk():
apeforest commented on a change in pull request #15593: Large Index Support for
Slice
URL: https://github.com/apache/incubator-mxnet/pull/15593#discussion_r311798249
##
File path: tests/nightly/test_large_vector.py
##
@@ -0,0 +1,37 @@
+# Licensed to the Apache Software
apeforest commented on a change in pull request #15593: Large Index Support for
Slice
URL: https://github.com/apache/incubator-mxnet/pull/15593#discussion_r311797917
##
File path: tests/nightly/test_large_vector.py
##
@@ -0,0 +1,37 @@
+# Licensed to the Apache Software
apeforest commented on a change in pull request #15593: Large Index Support for
Slice
URL: https://github.com/apache/incubator-mxnet/pull/15593#discussion_r311797867
##
File path: tests/nightly/test_large_vector.py
##
@@ -0,0 +1,37 @@
+# Licensed to the Apache Software
ChaiBapchya opened a new pull request #15785: Add large tensor support binary
arithmetic
URL: https://github.com/apache/incubator-mxnet/pull/15785
## Description ##
Added binary arithmetic operators - add, sub, rsub, neg, mul, div, rdiv,
mod, rmod, imod, pow
## Checklist ##
KellenSunderland commented on issue #15516: Fix memory leak reported by ASAN in
NNVM to ONNX conversion
URL: https://github.com/apache/incubator-mxnet/pull/15516#issuecomment-519296687
Looks like there's still a compiler issue:
```
antonmilev commented on issue #10562: IOError: [Errno 32] Broken pipe in
Windows version
URL:
https://github.com/apache/incubator-mxnet/issues/10562#issuecomment-519296449
I am with mxnet 1.5.0 and have this problem..
This
wkcn commented on a change in pull request #15751: Fix the bug of
`MXEnginePushAsyncND` and `MXEnginePushSyncND`
URL: https://github.com/apache/incubator-mxnet/pull/15751#discussion_r311794355
##
File path: tests/cpp/engine/threaded_engine_test.cc
##
@@ -257,49 +257,80 @@
wkcn commented on a change in pull request #15751: Fix the bug of
`MXEnginePushAsyncND` and `MXEnginePushSyncND`
URL: https://github.com/apache/incubator-mxnet/pull/15751#discussion_r311792986
##
File path: tests/cpp/engine/threaded_engine_test.cc
##
@@ -257,49 +257,80 @@
samskalicky edited a comment on issue #15613: [Discussion] 1.5.1 Patch Release
URL:
https://github.com/apache/incubator-mxnet/issues/15613#issuecomment-519227680
https://github.com/apache/incubator-mxnet/issues/15784 needs to be fixed in
1.5.1, big impact for simple_bind. The fix is in
samskalicky commented on issue #15784: Simple_Bind failure in 1.5.0
URL:
https://github.com/apache/incubator-mxnet/issues/15784#issuecomment-519293498
Thanks @reminisce for pointing me to #15620 as the fix. I tried the previous
PR #15137 and found that it was still failing. So #15620
sxjscience commented on a change in pull request #15751: Fix the bug of
`MXEnginePushAsyncND` and `MXEnginePushSyncND`
URL: https://github.com/apache/incubator-mxnet/pull/15751#discussion_r311789501
##
File path: tests/cpp/engine/threaded_engine_test.cc
##
@@ -257,49
wkcn commented on issue #15775: [Backport][v1.5.x] Fix the bug of
`MXEnginePushAsyncND` and `MXEnginePushSyncND`
URL: https://github.com/apache/incubator-mxnet/pull/15775#issuecomment-519290594
Thank @szha ! The PR will be merged if there is no change in
wkcn commented on a change in pull request #15751: Fix the bug of
`MXEnginePushAsyncND` and `MXEnginePushSyncND`
URL: https://github.com/apache/incubator-mxnet/pull/15751#discussion_r311787447
##
File path: tests/cpp/engine/threaded_engine_test.cc
##
@@ -257,49 +257,80 @@
This is an automated email from the ASF dual-hosted git repository.
reminisce pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from aadef2d Fix flaky test test_global_metric (#15756)
add 45db8ea Add matrix determinant operator in
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