larroy commented on a change in pull request #10797: Better cleaning of git
repo, signal handlers
URL: https://github.com/apache/incubator-mxnet/pull/10797#discussion_r186132116
##
File path: ci/docker/runtime_functions.sh
##
@@ -353,7 +369,18 @@ sanity_check() {
}
+
arcadiaphy commented on issue #10794: fix topk nms in multibox_detection
operator
URL: https://github.com/apache/incubator-mxnet/pull/10794#issuecomment-386660719
Done, I find the last commit that has passed the CI and cherry-pick on it
marcoabreu commented on a change in pull request #10797: Better cleaning of git
repo, signal handlers
URL: https://github.com/apache/incubator-mxnet/pull/10797#discussion_r186121711
##
File path: ci/docker/runtime_functions.sh
##
@@ -353,7 +369,18 @@ sanity_check() {
}
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jxie pushed a change to branch piiswrong-patch-2
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from 0d1927c Update index.md
add f6f67e8 Update index.md
No new revisions were added by this
marcoabreu commented on issue #10811: Update emails for build failures in
Jenkins
URL: https://github.com/apache/incubator-mxnet/pull/10811#issuecomment-386638736
This is disabled on purpose.
This is an automated message
marcoabreu closed pull request #10811: Update emails for build failures in
Jenkins
URL: https://github.com/apache/incubator-mxnet/pull/10811
This is a PR merged from a forked repository.
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the sake of provenance:
As
sergeykolychev commented on issue #10791: Unable to install mxnet in R 3.5.0
URL:
https://github.com/apache/incubator-mxnet/issues/10791#issuecomment-386665520
@marcoabreu Sorry, I am a perl maintainer not R
This is an
marcoabreu commented on a change in pull request #10797: Better cleaning of git
repo, signal handlers
URL: https://github.com/apache/incubator-mxnet/pull/10797#discussion_r186121711
##
File path: ci/docker/runtime_functions.sh
##
@@ -353,7 +369,18 @@ sanity_check() {
}
IFeelBloated commented on issue #10804: Use depthwise convolution(group
convolution) by cuDNNv7 if available
URL: https://github.com/apache/incubator-mxnet/pull/10804#issuecomment-386635183
I have been working on something recently with heavy use of ResNeXt building
blocks, would be nice
piiswrong commented on issue #10804: Use depthwise convolution(group
convolution) by cuDNNv7 if available
URL: https://github.com/apache/incubator-mxnet/pull/10804#issuecomment-386662839
How does cudnn implementation compare to the custom kernels from tf? Should
we always use cudnn?
ashokei opened a new pull request #10819: [MXNET-367] update mkldnn to v0.14
and disable building test examples
URL: https://github.com/apache/incubator-mxnet/pull/10819
## Description ##
Resubmitting PR.
updated mkldnn submodule to latest release version, and disabled
rahul003 commented on issue #8671: Discussion and troubleshooting on PyPI (pip)
installation
URL:
https://github.com/apache/incubator-mxnet/issues/8671#issuecomment-386770513
@szha Can we turn on the USE_LIBJPEG_TURBO flag. I find that it helps
improve the speed of IO pipeline
anirudh2290 commented on issue #9118: argmax causes python VM to crash
URL:
https://github.com/apache/incubator-mxnet/issues/9118#issuecomment-386772793
@laszukdawid Please see: https://github.com/apache/incubator-mxnet/pull/9681
asitstands commented on issue #10768: Use numpy in RandomSampler
URL: https://github.com/apache/incubator-mxnet/pull/10768#issuecomment-386774321
I think that conda has no special optimization for numpy's shuffle. Numpy's
shuffle uses `n` times of swaps of elements in serial, where `n` is
asitstands commented on issue #10768: Use numpy in RandomSampler
URL: https://github.com/apache/incubator-mxnet/pull/10768#issuecomment-386774321
I think that conda has no special optimization for numpy's shuffle. Numpy's
shuffle uses `n` times of element swaps in serial, where `n` is the
leezu commented on issue #10768: Use numpy in RandomSampler
URL: https://github.com/apache/incubator-mxnet/pull/10768#issuecomment-386779158
On my personal computer indeed I experience the same speed-up of mxnet
compared to numpy. On the other machines the results I quoted above still
asitstands commented on issue #10768: Use numpy in RandomSampler
URL: https://github.com/apache/incubator-mxnet/pull/10768#issuecomment-386779966
I'll test on some other environments including AWS and make a PR if I'm sure
that the performance hit is not usual.
ashokei commented on issue #10591: [MXNET-365] handle inplace in mkldnn
FallBackCompute
URL: https://github.com/apache/incubator-mxnet/pull/10591#issuecomment-386768975
@marcoabreu is this something you can merge. thanks.
rahul003 commented on issue #8671: Discussion and troubleshooting on PyPI (pip)
installation
URL:
https://github.com/apache/incubator-mxnet/issues/8671#issuecomment-386770513
@szha Can we turn on the USE_LIBJPEG_TURBO flag. I find that it helps
improve the speed of IO pipeline
asitstands commented on issue #10768: Use numpy in RandomSampler
URL: https://github.com/apache/incubator-mxnet/pull/10768#issuecomment-386774321
I think that conda has no special optimization for numpy's shuffle. Numpy's
shuffle uses `n` times of element swaps in serial, where `n` is the
TaoLv commented on issue #10104: [WIP][MXNET-107] Fused RNN implementation for
CPU
URL: https://github.com/apache/incubator-mxnet/pull/10104#issuecomment-386776831
rebase code to master branch and retrigger ci.
This is an
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zhasheng 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 7453bf9 Bump the publish
leezu commented on issue #10768: Use numpy in RandomSampler
URL: https://github.com/apache/incubator-mxnet/pull/10768#issuecomment-386780280
Sounds great, thanks!
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ThomasDelteil commented on issue #10816: Update threaded_engine.cc
URL: https://github.com/apache/incubator-mxnet/pull/10816#issuecomment-386781720
I see, why not doing this modification along the related one in your
follow-up PR then? That would make it easier to follow.
ThomasDelteil commented on issue #10816: Update threaded_engine.cc
URL: https://github.com/apache/incubator-mxnet/pull/10816#issuecomment-386781720
I see, why not doing this modification along the related ones in your
follow-up PR then? That would make it easier to follow.
piiswrong commented on issue #10814: fix a bug for deferred init
URL: https://github.com/apache/incubator-mxnet/pull/10814#issuecomment-386755521
No. It's just unclear error message.
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sl1pkn07 commented on issue #10558: NNVM build failed in the newst mxnet version
URL:
https://github.com/apache/incubator-mxnet/issues/10558#issuecomment-386758859
seems is better select what is not valid instead of what yes. in my case,
all more than 6.3.1 and 5.5.0
i need try
wkcn commented on issue #10723: Adding custom C++ ops without modifying mxnet
source
URL:
https://github.com/apache/incubator-mxnet/issues/10723#issuecomment-386774110
I have tried it. It's available.
The key point is to get the data pointer of NDArray using
_LIB.MXNDArrayGetData
asitstands commented on issue #10768: Use numpy in RandomSampler
URL: https://github.com/apache/incubator-mxnet/pull/10768#issuecomment-386774321
I think that conda has no special optimization for numpy's shuffle. Numpy's
shuffle uses `n` times of element swaps in serial, where `n` is the
sl1pkn07 commented on issue #10558: NNVM build failed in the newst mxnet version
URL:
https://github.com/apache/incubator-mxnet/issues/10558#issuecomment-386758859
seems is better select what is not valid instead of what yes. in my case,
all more than 6.3.1 and 5.5.0
i need try
hetong007 opened a new issue #10818: Feature Request: Improve ndarray.pad to be
an numpy.pad equivalent
URL: https://github.com/apache/incubator-mxnet/issues/10818
## Current Limitations
Comparing to `numpy.pad`, the current
zhreshold commented on issue #10820: fix thread contention caused by openmp
URL: https://github.com/apache/incubator-mxnet/pull/10820#issuecomment-386769536
@piiswrong Can you have a look?
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indhub closed pull request #10621: [MXNET-340] Updated tutorials page.
URL: https://github.com/apache/incubator-mxnet/pull/10621
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indhub 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 97511ba [MXNET-340] Updated tutorials
asitstands commented on issue #10768: Use numpy in RandomSampler
URL: https://github.com/apache/incubator-mxnet/pull/10768#issuecomment-386774321
I think that conda has no special optimization for numpy's shuffle. Numpy's
shuffle uses `n` times of element swaps in serial, where `n` is the
ashokei commented on issue #10819: [MXNET-367] update mkldnn to v0.14 and
disable building test examples
URL: https://github.com/apache/incubator-mxnet/pull/10819#issuecomment-386777118
@TaoLv can you please review, i updated mkldnn formats based on new release.
i notice there is
yajiedesign opened a new issue #10821: ci error MKLDNN_UTIL_FUNC.MemFormat
URL: https://github.com/apache/incubator-mxnet/issues/10821
## Description
ci test FAILED MKLDNN_UTIL_FUNC.MemFormat
yajiedesign closed issue #10821: ci error MKLDNN_UTIL_FUNC.MemFormat
URL: https://github.com/apache/incubator-mxnet/issues/10821
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jxie 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 3bba4c8 fix (#10814)
3bba4c8 is
piiswrong closed pull request #10814: fix a bug for deferred init
URL: https://github.com/apache/incubator-mxnet/pull/10814
This is a PR merged from a forked repository.
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piiswrong commented on issue #10816: Update threaded_engine.cc
URL: https://github.com/apache/incubator-mxnet/pull/10816#issuecomment-386755763
It shouldn't have any effect for any use cases currently supported.
I encountered this when working on something new. I'll add tests and
zhreshold opened a new pull request #10820: fix thread contention caused by
openmp
URL: https://github.com/apache/incubator-mxnet/pull/10820
## Description ##
fix thread contention caused by openmp. This helps improve
gluon.data.dataLoader perf when num_workers is large.
##
szha commented on issue #8671: Discussion and troubleshooting on PyPI (pip)
installation
URL:
https://github.com/apache/incubator-mxnet/issues/8671#issuecomment-386770801
@rahul003 thanks for the suggestion. I will certainly take a look. For these
dependencies, my approach have been to
szha commented on issue #8671: Discussion and troubleshooting on PyPI (pip)
installation
URL:
https://github.com/apache/incubator-mxnet/issues/8671#issuecomment-386770801
@rahul003 thanks for the suggestion. I will certainly take a look. For these
dependencies, my approach have been to
rahul003 commented on issue #8671: Discussion and troubleshooting on PyPI (pip)
installation
URL:
https://github.com/apache/incubator-mxnet/issues/8671#issuecomment-386770513
@szha Can we turn on the USE_LIBJPEG_TURBO flag. I find that it helps
improve the speed of IO pipeline
hetong007 commented on issue #10123: train_cifar10.py hangs on first epoch in
debug mode (4 P100 GPUs)
URL:
https://github.com/apache/incubator-mxnet/issues/10123#issuecomment-386704607
Can you try the train_cifar10.py script at:
piiswrong commented on issue #10766: Bug Cannot save/load params with Gluon
model
URL:
https://github.com/apache/incubator-mxnet/issues/10766#issuecomment-386734298
You cannot set_data before you initialize the model.
@ariwaranosai yes that's the issue. I'm making a fix
piiswrong closed pull request #10810: Fix Reorder2Default
URL: https://github.com/apache/incubator-mxnet/pull/10810
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jxie pushed a commit to branch master
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The following commit(s) were added to refs/heads/master by this push:
new ab6a25e Reorder2Default: return
zheng-da opened a new pull request #10812: Fix a mem error.
URL: https://github.com/apache/incubator-mxnet/pull/10812
## Description ##
This memory error has been discussed in the dev mailing list and this error
can be reproduced with the following commands.
```
export
rahul003 commented on issue #10778: Make android error
URL:
https://github.com/apache/incubator-mxnet/issues/10778#issuecomment-386724201
Are you trying to cross compile for android? Does using USE_F16C=0 build
flag help?
rahul003 commented on issue #10778: Make android error
URL:
https://github.com/apache/incubator-mxnet/issues/10778#issuecomment-386724201
Does using USE_F16C=0 help?
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zhanghang1989 opened a new pull request #10815: [MXNET-402] add integer type
for pad
URL: https://github.com/apache/incubator-mxnet/pull/10815
## Description ##
Add integer pad @hetong007
## Checklist ##
### Essentials ###
Please feel free to remove inapplicable items for
leezu opened a new pull request #10813: Fix context handling when creating
sparse arrays from definition
URL: https://github.com/apache/incubator-mxnet/pull/10813
## Description ##
@eric-haibin-lin
Currently when creating a sparse array from definition (ie. dense data array
and
piiswrong opened a new pull request #10814: fix a bug for deferred init
URL: https://github.com/apache/incubator-mxnet/pull/10814
## Description ##
(Brief description on what this PR is about)
## Checklist ##
### Essentials ###
Please feel free to remove inapplicable items
ThomasDelteil commented on issue #10816: Update threaded_engine.cc
URL: https://github.com/apache/incubator-mxnet/pull/10816#issuecomment-386751129
As we are all trying to get up to speed, it would be nice to explain why
this is necessary, and what bug that caused.
piiswrong closed pull request #10812: Fix a mem error.
URL: https://github.com/apache/incubator-mxnet/pull/10812
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jxie 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 e49fdae Fix a mem error. (#10812)
laszukdawid commented on issue #9118: argmax causes python VM to crash
URL:
https://github.com/apache/incubator-mxnet/issues/9118#issuecomment-386751353
@nswamy @anirudh2290 what's the commit sha? I'd like to follow this ticket.
snflake commented on issue #10804: Use depthwise convolution(group convolution)
by cuDNNv7 if available
URL: https://github.com/apache/incubator-mxnet/pull/10804#issuecomment-386712514
I got similar runtime with MobileNet v2 on laptop (Nvidia Quadro M1000M)
using custom kernel and grouped
piiswrong closed pull request #10800: Update index.md
URL: https://github.com/apache/incubator-mxnet/pull/10800
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jxie 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 aabaab4 Update index.md (#10800)
leezu commented on issue #10768: Use numpy in RandomSampler
URL: https://github.com/apache/incubator-mxnet/pull/10768#issuecomment-386742567
@asitstands I guess the difference between our experiments is that I used a
optimized numpy from conda and the standard [mxnet pypi
sl1pkn07 commented on issue #10558: NNVM build failed in the newst mxnet version
URL:
https://github.com/apache/incubator-mxnet/issues/10558#issuecomment-386743439
yes, seems GCC 5.4.0 and GCC 6.3.1(snapshot used in archlinux) build OK
without get rid `-O3` in all makefiles/cmakelists
sl1pkn07 commented on issue #10558: NNVM build failed in the newst mxnet version
URL:
https://github.com/apache/incubator-mxnet/issues/10558#issuecomment-386743439
yes, seems GCC 5.4.0 and GCC 6.3.1(snapshot used in archlinux) build OK
without get rid `-O3` in all makefiles/cmakelists
piiswrong opened a new pull request #10817: [WIP] Do Not Merge. Static memory
allocation for cached_op
URL: https://github.com/apache/incubator-mxnet/pull/10817
## Description ##
(Brief description on what this PR is about)
## Checklist ##
### Essentials ###
Please feel
zhreshold closed pull request #10794: fix topk nms in multibox_detection
operator
URL: https://github.com/apache/incubator-mxnet/pull/10794
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
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zhreshold 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 38ec93c fix topk nms in
zhreshold commented on issue #10794: fix topk nms in multibox_detection operator
URL: https://github.com/apache/incubator-mxnet/pull/10794#issuecomment-386713496
Merged, thanks for the contribution!
This is an automated
piiswrong opened a new pull request #10816: Update threaded_engine.cc
URL: https://github.com/apache/incubator-mxnet/pull/10816
## Description ##
(Brief description on what this PR is about)
## Checklist ##
### Essentials ###
Please feel free to remove inapplicable items for
rahul003 commented on issue #10558: NNVM build failed in the newst mxnet version
URL:
https://github.com/apache/incubator-mxnet/issues/10558#issuecomment-386752885
Good to know @sl1pkn07. Thanks for verifying that this works. That's a good
idea, the only concern is that we might need to
thomelane commented on issue #10621: [MXNET-340] Updated tutorials page.
URL: https://github.com/apache/incubator-mxnet/pull/10621#issuecomment-386753796
@piiswrong fixed as suggested, but kept an alternative link in brackets.
@indhub are you able to merge now we have a successful
grainw commented on issue #2754: import mxnetReason: image not
found
URL:
https://github.com/apache/incubator-mxnet/issues/2754#issuecomment-386536477
Hey did you figure out how to solve this?@pjpan
This is an automated
threeleafzerg commented on issue #10696: [MXNET-366]Extend MXNet Distributed
Training by MPI AllReduce
URL: https://github.com/apache/incubator-mxnet/pull/10696#issuecomment-386539894
@rahul003
For GPU, I agree with your comment. Currently we leave the place holder for
GPU for future
snflake commented on issue #10804: Use depthwise convolution(group convolution)
by cuDNNv7 if available
URL: https://github.com/apache/incubator-mxnet/pull/10804#issuecomment-386535684
The CI failure seems to not related to this PR.
unknown file: Failure
C++ exception with
xinyu-intel commented on issue #10629: [MXNET-343]fix Mkldnn with msvc
URL: https://github.com/apache/incubator-mxnet/pull/10629#issuecomment-386544479
@yajiedesign update your submodule using `git submodule update --init
--recursive`, and then commit the new mkldnn to your repo.
snflake commented on issue #10804: Use depthwise convolution(group convolution)
by cuDNNv7 if available
URL: https://github.com/apache/incubator-mxnet/pull/10804#issuecomment-386534903
Great work! This seems to explain the current low performance of Mxnet
compared to Tensorflow when
threeleafzerg commented on issue #10696: [MXNET-366]Extend MXNet Distributed
Training by MPI AllReduce
URL: https://github.com/apache/incubator-mxnet/pull/10696#issuecomment-386539894
@rahul003
For GPU, I agree with your comment. Currently we leave the place holder for
GPU for future
asitstands commented on issue #10768: Use numpy in RandomSampler
URL: https://github.com/apache/incubator-mxnet/pull/10768#issuecomment-386546813
Thanks @leezu. I wish this discussion would not bother you too much. Here is
my test code.
```python
import time
import mxnet as mx
asitstands commented on issue #10768: Use numpy in RandomSampler
URL: https://github.com/apache/incubator-mxnet/pull/10768#issuecomment-386546813
Thanks @leezu. I wish this discussion would not bother you too much. Here is
my test code.
```python
import time
import mxnet as mx
rahul003 commented on issue #10696: [MXNET-366]Extend MXNet Distributed
Training by MPI AllReduce
URL: https://github.com/apache/incubator-mxnet/pull/10696#issuecomment-386512681
- Implementation only for CPU is very restrictive. Are you also trying to
implement for GPU? Are you running
rahul003 commented on a change in pull request #10696: [MXNET-366]Extend MXNet
Distributed Training by MPI AllReduce
URL: https://github.com/apache/incubator-mxnet/pull/10696#discussion_r185994804
##
File path: src/mpi_collectives/src/mpi_collectives.cxx
##
@@ -0,0 +1,827
marcoabreu commented on issue #10808: Revert "[MXNET-367] update mkldnn to
v0.14 and disable building test examples"
URL: https://github.com/apache/incubator-mxnet/pull/10808#issuecomment-386528117
The problem here is that there were only 10 hours in between the merges of
the two clashing
diyang commented on issue #10805: SKIP RNN is incorrect in LSTnet
URL:
https://github.com/apache/incubator-mxnet/issues/10805#issuecomment-386563096
I have used MxNet R to implement SKIP RNN
You may find it in this function.
```R
rnn.skip.unroll<-function(data,
diyang commented on issue #10805: SKIP RNN is incorrect in LSTnet
URL:
https://github.com/apache/incubator-mxnet/issues/10805#issuecomment-386563096
I have used MxNet R to implement SKIP RNN
You may find it in this function.
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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 66365ef Revert "[MXNET-367]
marcoabreu closed pull request #10808: Revert "[MXNET-367] update mkldnn to
v0.14 and disable building test examples"
URL: https://github.com/apache/incubator-mxnet/pull/10808
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larroy commented on a change in pull request #10797: Better cleaning of git
repo, signal handlers
URL: https://github.com/apache/incubator-mxnet/pull/10797#discussion_r186055013
##
File path: ci/docker/runtime_functions.sh
##
@@ -353,7 +369,18 @@ sanity_check() {
}
+
diyang commented on issue #10805: SKIP RNN is incorrect in LSTnet
URL:
https://github.com/apache/incubator-mxnet/issues/10805#issuecomment-386563096
I have used MxNet R to implement SKIP RNN
You may find it in this function.
diyang commented on issue #10805: SKIP RNN is incorrect in LSTnet
URL:
https://github.com/apache/incubator-mxnet/issues/10805#issuecomment-386563096
@QiXuanWang
I have used MxNet R to implement SKIP RNN
You may find it in this function.
diyang commented on issue #10805: SKIP RNN is incorrect in LSTnet
URL:
https://github.com/apache/incubator-mxnet/issues/10805#issuecomment-386581465
@QiXuanWang By the way, according to the paper, if your data is not
periodic, or period is dynamic, then you shall choose the variation of
marcoabreu commented on a change in pull request #10797: Better cleaning of git
repo, signal handlers
URL: https://github.com/apache/incubator-mxnet/pull/10797#discussion_r186086546
##
File path: ci/docker/runtime_functions.sh
##
@@ -353,7 +369,18 @@ sanity_check() {
}
TaoLv opened a new pull request #10810: Fix Reorder2Default
URL: https://github.com/apache/incubator-mxnet/pull/10810
## Description ##
Fix issue #10809.
@zheng-da @pengzhao-intel @ashokei Please review.
@dwSun Feel free to try if you are instereted in building from source.
marcoabreu commented on issue #10791: Unable to install mxnet in R 3.5.0
URL:
https://github.com/apache/incubator-mxnet/issues/10791#issuecomment-386607901
@sergeykolychev
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snflake commented on issue #10804: Use depthwise convolution(group convolution)
by cuDNNv7 if available
URL: https://github.com/apache/incubator-mxnet/pull/10804#issuecomment-386537855
About the speed, I used TensorRT with cudnn 7 for inference and depthwise
conv is very fast regardless
dwSun commented on issue #10807: Ndarray.asnumpy() error with gluon dense under
both GPU and CPU environment
URL:
https://github.com/apache/incubator-mxnet/issues/10807#issuecomment-386549085
modified your script as this:
```py
from mxnet.gluon import nn
import mxnet as mx
dwSun opened a new issue #10809: Check failed: format != mkl_mem_->GetFormat()
(5 vs. 5)
URL: https://github.com/apache/incubator-mxnet/issues/10809
## Description
Crashed when training a model.
With code from [this
threeleafzerg commented on issue #10696: [MXNET-366]Extend MXNet Distributed
Training by MPI AllReduce
URL: https://github.com/apache/incubator-mxnet/pull/10696#issuecomment-386539894
@rahul003
For GPU, I agree with your comment. But the majority code of this PR is the
infrastructure
TaoLv commented on issue #10809: Check failed: format != mkl_mem_->GetFormat()
(5 vs. 5)
URL:
https://github.com/apache/incubator-mxnet/issues/10809#issuecomment-386600967
@dwSun Thanks for reporting this. I will take a look and be back to you soon.
zheng-da commented on issue #10810: Fix Reorder2Default
URL: https://github.com/apache/incubator-mxnet/pull/10810#issuecomment-386621576
looks good.
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