dabraude opened a new pull request #9860: Nnpack
URL: https://github.com/apache/incubator-mxnet/pull/9860
## Description ##
This is the first part of #9719
## Checklist ##
### Essentials ###
- [X] Passed code style checking (`make lint`)
- [X] Changes are complete
dabraude commented on issue #9573: Fix bug with symbol loading
URL: https://github.com/apache/incubator-mxnet/pull/9573#issuecomment-367613732
failed tests relate to #9856
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dabraude commented on issue #9573: Fix bug with symbol loading
URL: https://github.com/apache/incubator-mxnet/pull/9573#issuecomment-367613732
failed tests relate to #9856
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lupesko commented on issue #9858: softsign activation function
URL: https://github.com/apache/incubator-mxnet/pull/9858#issuecomment-367608109
@szha This will help MXNet users who can't migrate from 0.11 to 1.0 just
yet, but need the operator.
juliusshufan commented on issue #9805: Enable the reporting of cross-entropy or
nll loss value when training CNN network using the models defined by
example/image-classification
URL: https://github.com/apache/incubator-mxnet/pull/9805#issuecomment-366863185
### I rerun the failed GPU case
dabraude commented on issue #9860: CMake NNPack support
URL: https://github.com/apache/incubator-mxnet/pull/9860#issuecomment-367623208
The test that failed is flaky #9856
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juliusshufan commented on issue #9805: Enable the reporting of cross-entropy or
nll loss value when training CNN network using the models defined by
example/image-classification
URL: https://github.com/apache/incubator-mxnet/pull/9805#issuecomment-367618399
@szha Hi, I noticed the preci
juliusshufan commented on issue #9805: Enable the reporting of cross-entropy or
nll loss value when training CNN network using the models defined by
example/image-classification
URL: https://github.com/apache/incubator-mxnet/pull/9805#issuecomment-366863185
# I rerun the failed GPU
yajiedesign commented on issue #9798: fix cmake
URL: https://github.com/apache/incubator-mxnet/pull/9798#issuecomment-367683536
@marcoabreu yes.the windows night build use it.
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marcoabreu commented on issue #9798: fix cmake
URL: https://github.com/apache/incubator-mxnet/pull/9798#issuecomment-367673339
I'm not on my computer right now. could you check whether cuda toolset is
actually applied during compilation in CI?
larroy commented on issue #9849: License tool
URL: https://github.com/apache/incubator-mxnet/pull/9849#issuecomment-367686078
@marcoabreu please merge?
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KellenSunderland opened a new pull request #9861: Add CuDNN (v6) support to
Jetson builds
URL: https://github.com/apache/incubator-mxnet/pull/9861
## Description ##
Add CuDNN (v6) support to Jetson builds. This should make the builds for
Jetson devices 20-35% faster for many tasks.
ZiyueHuang commented on issue #9848: add infer_type for regression ops, fix
issues#9847
URL: https://github.com/apache/incubator-mxnet/pull/9848#issuecomment-367688993
Unittest is written in symbolic mode while the issue is in imperative mode.
In symbolic mode, infer_type pass has a
marcoabreu commented on issue #9860: [WIP] CMake NNPack support
URL: https://github.com/apache/incubator-mxnet/pull/9860#issuecomment-367669600
That's a LOT of third party dependencies and they're coming from a private
repository.
yajiedesign commented on issue #9798: fix cmake
URL: https://github.com/apache/incubator-mxnet/pull/9798#issuecomment-367669459
sorry for later.
I originally set up CUDA_TOOLSET for the purpose of selecting the CUDA
version in CI.
I will try to add a default auto option.
marcoabreu commented on issue #9858: softsign activation function
URL: https://github.com/apache/incubator-mxnet/pull/9858#issuecomment-367670741
We are not running any CI for v0.11 and as far as I remember, was the plan
to only support the last two versions (in this case v1.0 and v1.1)
yajiedesign commented on a change in pull request #9798: fix cmake
URL: https://github.com/apache/incubator-mxnet/pull/9798#discussion_r169942811
##
File path: CMakeLists.txt
##
@@ -46,6 +46,11 @@ if(USE_CUDA AND NOT USE_OLDCMAKECUDA)
(${CMAKE_VERSION}
marcoabreu commented on issue #9858: softsign activation function
URL: https://github.com/apache/incubator-mxnet/pull/9858#issuecomment-367671272
In my opinion, the right approach here would be that this change is getting
done on the master and people who are interested in this operator
cjolivier01 commented on a change in pull request #9770: eye operator, for
default storage type
URL: https://github.com/apache/incubator-mxnet/pull/9770#discussion_r170006130
##
File path: src/operator/tensor/init_op.h
##
@@ -428,6 +405,39 @@ void FillComputeZerosEx(const
piiswrong commented on issue #9858: softsign activation function
URL: https://github.com/apache/incubator-mxnet/pull/9858#issuecomment-367773072
We retrofit critical bugfixes to previous releases. This is a new feature.
If you do it for 0.11, then you'll need to do it for all the releases
cjolivier01 commented on issue #9744: Performance regression when
OMP_NUM_THREADS environment variable is not set
URL:
https://github.com/apache/incubator-mxnet/issues/9744#issuecomment-367727199
Are you sauing I should set the environment variable in the code:
cjolivier01 commented on issue #9744: Performance regression when
OMP_NUM_THREADS environment variable is not set
URL:
https://github.com/apache/incubator-mxnet/issues/9744#issuecomment-367727199
Are you saying I should set the environment variable in the code:
szha commented on issue #9858: softsign activation function
URL: https://github.com/apache/incubator-mxnet/pull/9858#issuecomment-367746320
Yeah, that would be the right approach. Semver doesn?t have to apply for
0.x, so cherry pick should be fine.
Maratyszcza commented on issue #9860: [WIP] CMake NNPack support
URL: https://github.com/apache/incubator-mxnet/pull/9860#issuecomment-367771148
PeachPy has `pre-generated` branch, which is a mirror of `master` branch
after running `python setup.py generate`. I suggest you use the HEAD of
cjolivier01 commented on issue #9744: Performance regression when
OMP_NUM_THREADS environment variable is not set
URL:
https://github.com/apache/incubator-mxnet/issues/9744#issuecomment-367727571
Can you also explain what these settings do? I know it's in a manual
somewhere, but from
Maratyszcza commented on a change in pull request #9860: [WIP] CMake NNPack
support
URL: https://github.com/apache/incubator-mxnet/pull/9860#discussion_r170047405
##
File path: CMakeLists.txt
##
@@ -551,6 +552,66 @@ if(NOT EXISTS
cjolivier01 commented on issue #9744: Performance regression when
OMP_NUM_THREADS environment variable is not set
URL:
https://github.com/apache/incubator-mxnet/issues/9744#issuecomment-367726497
I am only vaguely familiar with the KMP stuff. Can you please elaborate?
Are you saying
piiswrong commented on issue #9860: [WIP] CMake NNPack support
URL: https://github.com/apache/incubator-mxnet/pull/9860#issuecomment-367772409
This is too many submodules.
@Maratyszcza Do you have a bundled release or something like that? A single
submodule that has a snap shot to all
ZiyueHuang commented on issue #9770: eye operator, for default storage type
URL: https://github.com/apache/incubator-mxnet/pull/9770#issuecomment-367719581
Thanks for your comments. Sorry for the late response.
@piiswrong I increased the size and the number of trials and added M=0
piiswrong commented on issue #9858: softsign activation function
URL: https://github.com/apache/incubator-mxnet/pull/9858#issuecomment-367773072
We retrofit critical bugfixes to previous releases. This is a new feature.
If you do it for 0.11, then you'll need to do it for all the releases
szha closed pull request #9805: Enable the reporting of cross-entropy or nll
loss value when training CNN network using the models defined by
example/image-classification
URL: https://github.com/apache/incubator-mxnet/pull/9805
This is a PR merged from a forked repository.
As GitHub
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zhasheng 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 e1d8c66 Enable the reporting of
chsin commented on a change in pull request #9809: fix optimizer bug in
CPP-Package
URL: https://github.com/apache/incubator-mxnet/pull/9809#discussion_r169996703
##
File path: cpp-package/include/mxnet-cpp/optimizer.hpp
##
@@ -125,13 +125,16 @@ inline float
zheng-da commented on issue #9820: Flaky test_gluon_model_zoo_gpu.test_training
@ Python3: MKLDNN-GPU
URL:
https://github.com/apache/incubator-mxnet/issues/9820#issuecomment-367791248
After one day of testing, I think I know where the problem is now.
Basically, the current implementation
nswamy commented on issue #9858: softsign activation function
URL: https://github.com/apache/incubator-mxnet/pull/9858#issuecomment-367788415
@piiswrong @szha
Some background:
One of the customer is using MXNet-Scala Interface of 0.11 version. They are
soon to go live with their
Lorna-Liu commented on issue #9517: Check failed: err == CUDNN_STATUS_SUCCESS
(6 vs. 0) CUDNN_STATUS_ARCH_MISMATCH
URL:
https://github.com/apache/incubator-mxnet/issues/9517#issuecomment-367805855
@liangyong928
I was wondering if you have solve the problem. I just encountered exactly
marcoabreu commented on issue #9858: softsign activation function
URL: https://github.com/apache/incubator-mxnet/pull/9858#issuecomment-367815373
Of course, but we can't guarantee correctness due to lacking CI and we'd
have to make a formal release according to Apache in order to be able
sifmelcara commented on issue #9809: fix optimizer bug in CPP-Package
URL: https://github.com/apache/incubator-mxnet/pull/9809#issuecomment-367822502
Hello! Just got a ping from @chsin for this PR. I'm the author of the ODR
fix.
After some git blame, I found this bug was accidentally
sifmelcara commented on issue #9809: fix optimizer bug in CPP-Package
URL: https://github.com/apache/incubator-mxnet/pull/9809#issuecomment-367822502
Hello! Just got a ping from @chsin for this PR. I'm the author of the ODR
fix.
After some git blame, I found this bug was accidentally
Lorna-Liu commented on issue #9517: Check failed: err == CUDNN_STATUS_SUCCESS
(6 vs. 0) CUDNN_STATUS_ARCH_MISMATCH
URL:
https://github.com/apache/incubator-mxnet/issues/9517#issuecomment-367805855
@liangyong928
I was wondering if you have solve the problem. I just encountered exactly
marcoabreu commented on issue #9858: softsign activation function
URL: https://github.com/apache/incubator-mxnet/pull/9858#issuecomment-367810206
Considering the fact that we are not making any releases for v0.11, it
doesn't really make sense to work on that branch. Or does the customer
cjolivier01 commented on issue #9858: softsign activation function
URL: https://github.com/apache/incubator-mxnet/pull/9858#issuecomment-367813362
Rules are nice, but IMHO, customer adoption right now trumps everything
This
cjolivier01 commented on issue #9858: softsign activation function
URL: https://github.com/apache/incubator-mxnet/pull/9858#issuecomment-367813362
Rules are nice, but IMHO, customer adoption right now trumps everything.
Well, not EVERYHING, but it's important.
szha commented on issue #9858: softsign activation function
URL: https://github.com/apache/incubator-mxnet/pull/9858#issuecomment-367820170
The rules are standards we set for ourselves, and we probably don't want
people to think this is a community that's OK to bend the rules whenever it's
sifmelcara commented on issue #9809: fix optimizer bug in CPP-Package
URL: https://github.com/apache/incubator-mxnet/pull/9809#issuecomment-367824559
Hmm, in fact I think adding back `static int __make_ ## OptimizerType ## _
## Name ## __ =` is a little bit better because local static
marcoabreu commented on issue #9809: fix optimizer bug in CPP-Package
URL: https://github.com/apache/incubator-mxnet/pull/9809#issuecomment-367830881
@larroy
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dabraude commented on issue #9860: [WIP] CMake NNPack support
URL: https://github.com/apache/incubator-mxnet/pull/9860#issuecomment-367794784
@piiswrong NNPack's CmakeLists.txt downloads the dependencies, I can change
it so that they are not submodules.
wellner commented on issue #9656: Sparse Tensor support in scala api
URL:
https://github.com/apache/incubator-mxnet/issues/9656#issuecomment-367802177
I'd second this request for support of sparse tensors/ndarrays in Scala.
Thanks!
sifmelcara commented on issue #9809: fix optimizer bug in CPP-Package
URL: https://github.com/apache/incubator-mxnet/pull/9809#issuecomment-367822502
Hello! Just got a ping from @chsin for this PR. I'm the author of the ODR
fix.
After some git blame, I found this bug was accidentally
marcoabreu commented on issue #9820: Flaky
test_gluon_model_zoo_gpu.test_training @ Python3: MKLDNN-GPU
URL:
https://github.com/apache/incubator-mxnet/issues/9820#issuecomment-367792349
Great news, thanks for diving deep on this problem!
cjolivier01 commented on issue #9858: softsign activation function
URL: https://github.com/apache/incubator-mxnet/pull/9858#issuecomment-367818944
probably this discussion should occur on dev and see what the mentors think
On Thu, Feb 22, 2018 at 12:42 PM, Marco de Abreu
cjolivier01 commented on issue #9858: softsign activation function
URL: https://github.com/apache/incubator-mxnet/pull/9858#issuecomment-367833441
"whenever it's convenient"? none of this seems terribly "convenient". Not
sure where that framing came from. Customer obsessions is rarely
szha commented on issue #9858: softsign activation function
URL: https://github.com/apache/incubator-mxnet/pull/9858#issuecomment-367820170
The rules are standards we set for ourselves, and we probably don't want
people to think this is a community that's OK with bending the rules whenever
zheng-da opened a new pull request #9862: Fix a race condition in converting
data layouts.
URL: https://github.com/apache/incubator-mxnet/pull/9862
## Description ##
There is a race condition in data layout conversion in the MKLDNN
implementation.
Currently, when NDArray::data() is
zheng-da commented on issue #9856: Flaky test_random.test_gamma_generator
URL:
https://github.com/apache/incubator-mxnet/issues/9856#issuecomment-367839764
Is this problem related to MKLDNN?
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marcoabreu closed pull request #9861: Add CuDNN (v6) support to Jetson builds
URL: https://github.com/apache/incubator-mxnet/pull/9861
This is a PR merged from a forked repository.
As GitHub hides the original diff on merge, it is displayed below for
the sake of provenance:
As this is a
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marcoabreu 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 18816a5 Add CuDNN (v6) support to
marcoabreu commented on a change in pull request #9862: Fix a race condition in
converting data layouts in MKLDNN.
URL: https://github.com/apache/incubator-mxnet/pull/9862#discussion_r170113380
##
File path: tests/python/gpu/test_gluon_model_zoo_gpu.py
##
@@ -105,6 +107,7
marcoabreu commented on a change in pull request #9862: Fix a race condition in
converting data layouts in MKLDNN.
URL: https://github.com/apache/incubator-mxnet/pull/9862#discussion_r170113340
##
File path: tests/python/gpu/test_gluon_model_zoo_gpu.py
##
@@ -37,11 +37,11
cjolivier01 commented on issue #9853: Flaky test_operator.test_binary_op
URL:
https://github.com/apache/incubator-mxnet/issues/9853#issuecomment-367850176
Wasn't elemwise_add changed to use mkl?
btw, was it verified that mkl is faster for all shapes and types? I saw it
allocates
marcoabreu commented on a change in pull request #9862: Fix a race condition in
converting data layouts in MKLDNN.
URL: https://github.com/apache/incubator-mxnet/pull/9862#discussion_r170119050
##
File path: src/ndarray/ndarray.cc
##
@@ -1017,6 +1017,7 @@ inline void
cjolivier01 commented on issue #9848: add infer_type for regression ops, fix
issues#9847
URL: https://github.com/apache/incubator-mxnet/pull/9848#issuecomment-367853082
Please feel free to add infer type for the other ones if you like (not
required for this PR, however).
marcoabreu commented on issue #9862: Fix a race condition in converting data
layouts in MKLDNN.
URL: https://github.com/apache/incubator-mxnet/pull/9862#issuecomment-367865250
We don't need fixed seeds since #9791 has been merged. Just make sure that
the with_seed decorator is properly
sampathchanda commented on issue #9100: Python - ImportError: cannot import
name 'c_array_buf'
URL:
https://github.com/apache/incubator-mxnet/issues/9100#issuecomment-367866625
Am getting the same issue, even when having mxnet installed from 'pip
install mxnet-cu80==0.11.0'. Any ideas
marcoabreu commented on issue #9848: add infer_type for regression ops, fix
issues#9847
URL: https://github.com/apache/incubator-mxnet/pull/9848#issuecomment-367852882
Very nice catch, @ZiyueHuang! Sounds like a good idea.
cjolivier01 commented on issue #9848: add infer_type for regression ops, fix
issues#9847
URL: https://github.com/apache/incubator-mxnet/pull/9848#issuecomment-367852782
Makes sense.
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nswamy commented on issue #9858: softsign activation function
URL: https://github.com/apache/incubator-mxnet/pull/9858#issuecomment-367855882
Ok, I registered the symbol under contrib.
This is an automated message from the
marcoabreu commented on issue #9856: Flaky test_random.test_gamma_generator
URL:
https://github.com/apache/incubator-mxnet/issues/9856#issuecomment-367857691
No, it's using OpenBLAS.
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piiswrong commented on issue #9858: softsign activation function
URL: https://github.com/apache/incubator-mxnet/pull/9858#issuecomment-367857655
We can't just put stuff into arbitrary previous versions and then have it
disappear later then reappear.
I would just make a fork for this
marcoabreu commented on issue #9858: softsign activation function
URL: https://github.com/apache/incubator-mxnet/pull/9858#issuecomment-367857486
Contrib also sounds good to me. Are we going to make a formal release or
will that customer just checkout the branch head and compile
cjolivier01 commented on issue #9858: softsign activation function
URL: https://github.com/apache/incubator-mxnet/pull/9858#issuecomment-367858332
+1 would have to go into all releases after 0.11
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marcoabreu commented on issue #9862: Fix a race condition in converting data
layouts in MKLDNN.
URL: https://github.com/apache/incubator-mxnet/pull/9862#issuecomment-367866215
I'm afraid I still don't really understand. I see that you have re-enabled
this test, but unfortunately I'm
zheng-da commented on issue #9853: Flaky test_operator.test_binary_op
URL:
https://github.com/apache/incubator-mxnet/issues/9853#issuecomment-367868599
I don't have a clue right now. so far we see failures in random generators
and binary operators. it's weird why it fails in these simple
larroy commented on a change in pull request #9862: Fix a race condition in
converting data layouts in MKLDNN.
URL: https://github.com/apache/incubator-mxnet/pull/9862#discussion_r170139781
##
File path: src/operator/nn/mkldnn/mkldnn_base.cc
##
@@ -270,9 +270,24 @@ void
marcoabreu commented on issue #9862: Fix a race condition in converting data
layouts in MKLDNN.
URL: https://github.com/apache/incubator-mxnet/pull/9862#issuecomment-367872237
Would it be possible to create a test that introduces a delay or uses a
for-loop in order to force this race
marcoabreu commented on issue #9862: Fix a race condition in converting data
layouts in MKLDNN.
URL: https://github.com/apache/incubator-mxnet/pull/9862#issuecomment-367850610
But would this re-enabled test have caught this error? Please explain how
we're preventing this problem from
marcoabreu commented on issue #9853: Flaky test_operator.test_binary_op
URL:
https://github.com/apache/incubator-mxnet/issues/9853#issuecomment-367860051
Well even if it was changed to use MKL, this would not apply here since
we're running on OpenBLAS, right?
zheng-da commented on a change in pull request #9862: Fix a race condition in
converting data layouts in MKLDNN.
URL: https://github.com/apache/incubator-mxnet/pull/9862#discussion_r170129335
##
File path: src/operator/nn/mkldnn/mkldnn_base.cc
##
@@ -270,9 +270,24 @@ void
zheng-da commented on issue #9862: Fix a race condition in converting data
layouts in MKLDNN.
URL: https://github.com/apache/incubator-mxnet/pull/9862#issuecomment-367861997
@cjolivier01 The seed is set so we know what is the expected result. It's
easier to tell whether CPU or GPU compute
pengzhao-intel commented on issue #9744: Performance regression when
OMP_NUM_THREADS environment variable is not set
URL:
https://github.com/apache/incubator-mxnet/issues/9744#issuecomment-367873227
Thanks, @cjolivier01, I mean we set this environment in the code as
OMP_NUM_THREADS.
zheng-da commented on issue #9862: Fix a race condition in converting data
layouts in MKLDNN.
URL: https://github.com/apache/incubator-mxnet/pull/9862#issuecomment-367845835
@marcoabreu previously, I disabled the inference test. Now I enabled all
tests. I also added some prints to clearly
marcoabreu opened a new pull request #9863: Fix broken website build and update
version number
URL: https://github.com/apache/incubator-mxnet/pull/9863
Update website build script to point to the right file
Add 1.1.0 to build_all_versions.sh
Made build scripts fail fast with set -xe
cjolivier01 commented on a change in pull request #9862: Fix a race condition
in converting data layouts in MKLDNN.
URL: https://github.com/apache/incubator-mxnet/pull/9862#discussion_r170116831
##
File path: src/operator/nn/mkldnn/mkldnn_base.cc
##
@@ -270,9 +270,24 @@
cjolivier01 commented on a change in pull request #9862: Fix a race condition
in converting data layouts in MKLDNN.
URL: https://github.com/apache/incubator-mxnet/pull/9862#discussion_r170117620
##
File path: tests/python/gpu/test_gluon_model_zoo_gpu.py
##
@@ -37,11
marcoabreu commented on issue #9843: Flaky
test_random.test_exponential_generator @ Python2: MKLDNN-CPU
URL:
https://github.com/apache/incubator-mxnet/issues/9843#issuecomment-367858507
That might fix the test, but could we risk masking a problem that way? I'm
afraid I'm unfamiliar with
marcoabreu commented on issue #9853: Flaky test_operator.test_binary_op
URL:
https://github.com/apache/incubator-mxnet/issues/9853#issuecomment-367859620
I don't think we have the tools to measure performance on that scale yet. As
far as I know, this is in the works. Since there's still
nswamy commented on issue #9858: softsign activation function
URL: https://github.com/apache/incubator-mxnet/pull/9858#issuecomment-367859595
I am ok to put it to all the releases after 0.11.0 upto master, but I don't
think it has to be done right away.
zheng-da commented on a change in pull request #9862: Fix a race condition in
converting data layouts in MKLDNN.
URL: https://github.com/apache/incubator-mxnet/pull/9862#discussion_r170130612
##
File path: src/ndarray/ndarray.cc
##
@@ -1017,6 +1017,7 @@ inline void
marcoabreu commented on a change in pull request #9862: Fix a race condition in
converting data layouts in MKLDNN.
URL: https://github.com/apache/incubator-mxnet/pull/9862#discussion_r170132782
##
File path: src/ndarray/ndarray.cc
##
@@ -1017,6 +1017,7 @@ inline void
nswamy closed pull request #9858: softsign activation function
URL: https://github.com/apache/incubator-mxnet/pull/9858
This is a PR merged from a forked repository.
As GitHub hides the original diff on merge, it is displayed below for
the sake of provenance:
As this is a foreign pull
nswamy commented on issue #9858: softsign activation function
URL: https://github.com/apache/incubator-mxnet/pull/9858#issuecomment-367872369
I am closing this PR. Customer is ok to apply the patch on v.0.11.
This is an
marcoabreu commented on issue #9862: Fix a race condition in converting data
layouts in MKLDNN.
URL: https://github.com/apache/incubator-mxnet/pull/9862#issuecomment-367872237
Would it be possible to create a test that introduces a delay in order to
force this race condition?
nswamy closed pull request #9851: Softsign op
URL: https://github.com/apache/incubator-mxnet/pull/9851
This is a PR merged from a forked repository.
As GitHub hides the original diff on merge, it is displayed below for
the sake of provenance:
As this is a foreign pull request (from a
This is an automated email from the ASF dual-hosted git repository.
nswamy 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 6ebec87 Softsign Activation Function
zheng-da commented on issue #9843: Flaky test_random.test_exponential_generator
@ Python2: MKLDNN-CPU
URL:
https://github.com/apache/incubator-mxnet/issues/9843#issuecomment-367840947
It seems this problem is related to
https://github.com/apache/incubator-mxnet/issues/9856
marcoabreu commented on a change in pull request #9862: Fix a race condition in
converting data layouts in MKLDNN.
URL: https://github.com/apache/incubator-mxnet/pull/9862#discussion_r170113089
##
File path: src/ndarray/ndarray.cc
##
@@ -1017,6 +1017,7 @@ inline void
marcoabreu commented on issue #9864: Flaky hanging test_operator.test_laop_3 @
Python3: MKLDNN-CPU
URL:
https://github.com/apache/incubator-mxnet/issues/9864#issuecomment-367853511
@asmushetzel would you like to investigate?
marcoabreu opened a new issue #9864: Flaky hanging @ Python3: MKLDNN-CPU
URL: https://github.com/apache/incubator-mxnet/issues/9864
Test times out due to hang.
http://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/incubator-mxnet/detail/PR-9848/1/pipeline
```
marcoabreu commented on a change in pull request #9862: Fix a race condition in
converting data layouts in MKLDNN.
URL: https://github.com/apache/incubator-mxnet/pull/9862#discussion_r170132857
##
File path: tests/python/gpu/test_gluon_model_zoo_gpu.py
##
@@ -37,8 +37,7
cjolivier01 commented on issue #9853: Flaky test_operator.test_binary_op
URL:
https://github.com/apache/incubator-mxnet/issues/9853#issuecomment-367866040
i don?t know what is invoked in the process of calling test_bmod(). could
be that elemwise_add() isn?t called, or is called before
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