hgt312 commented on issue #16921: [NumPy][Typo][Doc] Fix typos and docs in
MXNet NumPy symbolic interface
URL: https://github.com/apache/incubator-mxnet/pull/16921#issuecomment-558971853
@mxnet-label-bot add [Numpy]
This is
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from 8f10d55 [Numpy] Fix imperative basic indexing in numpy (#16902)
add a98cefc [Numpy] Basic
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from 8f10d55 [Numpy] Fix imperative basic indexing in numpy (#16902)
add a98cefc [Numpy] Basic
sxjscience merged pull request #16621: [Numpy] Basic indexing in symbolic
interface of DeepNumpy
URL: https://github.com/apache/incubator-mxnet/pull/16621
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sxjscience closed issue #16279: [Bug] Inconsistency between HybridBlock and
Block
URL: https://github.com/apache/incubator-mxnet/issues/16279
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liuzh91 commented on issue #16918: Configurable log interval for estimator
URL:
https://github.com/apache/incubator-mxnet/issues/16918#issuecomment-558956935
> @liuzh91 would you be interested to fix this given you're currently
working on the Estimator API?
I can do this.
hgt312 opened a new pull request #16921: [NumPy][Typo][Doc] Fix typos and docs
in MXNet NumPy symbolic interface
URL: https://github.com/apache/incubator-mxnet/pull/16921
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leezu edited a comment on issue #16893: Multi-tensor LAMB
URL: https://github.com/apache/incubator-mxnet/pull/16893#issuecomment-558954600
What's the relation with
https://github.com/apache/incubator-mxnet/pull/16715/? #16715 recently added
'LAMB' optimizer to
leezu edited a comment on issue #16893: Multi-tensor LAMB
URL: https://github.com/apache/incubator-mxnet/pull/16893#issuecomment-558954600
What's the relation with
https://github.com/apache/incubator-mxnet/pull/16715/? #16715 recently added
'LAMB' optimizer to
leezu commented on issue #16893: Multi-tensor LAMB
URL: https://github.com/apache/incubator-mxnet/pull/16893#issuecomment-558954600
What's the relation with
https://github.com/apache/incubator-mxnet/pull/16715/? #16715 recently added
'LAMB' optimizer to
leezu commented on issue #16918: Configurable log interval for estimator
URL:
https://github.com/apache/incubator-mxnet/issues/16918#issuecomment-558952259
@liuzh91 would you be interested to fix this given you're currently working
on the Estimator API?
zburning commented on issue #16880: Better to flatten the label array in
metric.F1()
URL:
https://github.com/apache/incubator-mxnet/issues/16880#issuecomment-558943470
@sxjscience Yes, I would like to work on it.
This is an
TaoLv commented on issue #16899: [WIP] Enable MKL-DNN in pip packages
URL: https://github.com/apache/incubator-mxnet/pull/16899#issuecomment-558939291
I'm not sure whether the backward compatibility matters for convenient
binary releases or not. What about if downstream projects explicitly
sxjscience commented on issue #16880: Better to flatten the label array in
metric.F1()
URL:
https://github.com/apache/incubator-mxnet/issues/16880#issuecomment-558930931
@zburning Are you willing to fix this problem?
This
cjolivier01 edited a comment on issue #16916: Support for XLA devices
URL:
https://github.com/apache/incubator-mxnet/issues/16916#issuecomment-558918339
As a start, it would be good to simply be able to generate an HloModuleProto
protobuf file.
cjolivier01 commented on issue #16916: Support for XLA devices
URL:
https://github.com/apache/incubator-mxnet/issues/16916#issuecomment-558918339
As a start, it would be good to simply be able to generate an HloModuleProto
protobuf file. Thisin itself would create an object that can be
cjolivier01 edited a comment on issue #16916: Support for XLA devices
URL:
https://github.com/apache/incubator-mxnet/issues/16916#issuecomment-558918339
As a start, it would be good to simply be able to generate an HloModuleProto
protobuf file. This in itself would create an object that
liuzh91 commented on a change in pull request #16900: introduce gradient
update handler to the base estimator
URL: https://github.com/apache/incubator-mxnet/pull/16900#discussion_r351081843
##
File path: python/mxnet/gluon/contrib/estimator/event_handler.py
##
@@
wkcn commented on a change in pull request #16750: [Numpy] add custom op sort
URL: https://github.com/apache/incubator-mxnet/pull/16750#discussion_r351080020
##
File path: python/mxnet/numpy_op_fallback.py
##
@@ -49,6 +49,49 @@ def _register_helper(prop_cls):
return
wkcn commented on a change in pull request #16750: [Numpy] add custom op sort
URL: https://github.com/apache/incubator-mxnet/pull/16750#discussion_r351080020
##
File path: python/mxnet/numpy_op_fallback.py
##
@@ -49,6 +49,49 @@ def _register_helper(prop_cls):
return
leezu commented on a change in pull request #16900: introduce gradient update
handler to the base estimator
URL: https://github.com/apache/incubator-mxnet/pull/16900#discussion_r351075164
##
File path: python/mxnet/gluon/contrib/estimator/event_handler.py
##
@@ -706,3
leezu commented on a change in pull request #16900: introduce gradient update
handler to the base estimator
URL: https://github.com/apache/incubator-mxnet/pull/16900#discussion_r351074857
##
File path: python/mxnet/gluon/contrib/estimator/event_handler.py
##
@@ -130,13
leezu commented on a change in pull request #16900: introduce gradient update
handler to the base estimator
URL: https://github.com/apache/incubator-mxnet/pull/16900#discussion_r351074958
##
File path: python/mxnet/gluon/contrib/estimator/event_handler.py
##
@@ -235,14
leezu commented on a change in pull request #16900: introduce gradient update
handler to the base estimator
URL: https://github.com/apache/incubator-mxnet/pull/16900#discussion_r351074874
##
File path: python/mxnet/gluon/contrib/estimator/event_handler.py
##
@@ -176,14
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commit 9a9d5663d2c586df6d4a9190cbee668813e46b9d
Author: Iblis Lin
AuthorDate: Wed Nov 27 10:34:45
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at 9a9d566 wip
This branch includes the following new commits:
new 9a9d566 wip
The 1
szha edited a comment on issue #14883: [Discussion] Overhead in MXNet Execution
URL:
https://github.com/apache/incubator-mxnet/issues/14883#issuecomment-558896605
One idea that gained some popularity after discussion is to introduce an
engine-less mode to MXNet, in which the operators are
szha commented on issue #14883: [Discussion] Overhead in MXNet Execution
URL:
https://github.com/apache/incubator-mxnet/issues/14883#issuecomment-558896605
One idea that gained some popularity after discussion is to introduce an
engine-less mode to MXNet, in which the operators are
pengzhao-intel commented on issue #16916: Support for XLA devices
URL:
https://github.com/apache/incubator-mxnet/issues/16916#issuecomment-558889568
Good idea! We're evaluating the possibility of XLA recently :)
This is an
rongzha1 edited a comment on issue #16891: Upgrading MKLDNN to 1.0 causes
performance regression.
URL:
https://github.com/apache/incubator-mxnet/issues/16891#issuecomment-558656729
cpu test on both v1.5.x and v1.6.x mkldnn + openblas, but no regression
issue was found.
So can you try
larroy commented on issue #16796: Add support for boolean inputs to FusedOp
URL: https://github.com/apache/incubator-mxnet/pull/16796#issuecomment-558881215
@ptrendx is in the container in ci/ folder. You can use the exact same run
by using ci/build.py you have the same instruction in the
xinyu-intel commented on issue #16866: [WIP]Enhance quantized_conv case
URL: https://github.com/apache/incubator-mxnet/pull/16866#issuecomment-558881282
Some flaky tests always fail in CI but cannot reproduce easily from local
even with docker env on EC2. So debug with the CI environment
ChaiBapchya commented on issue #16866: [WIP]Enhance quantized_conv case
URL: https://github.com/apache/incubator-mxnet/pull/16866#issuecomment-558879178
Are you trying to use this PR for testing the issue? If that's the case it
doesn't make sense coz its a costly experiment in that case.
Kh4L commented on issue #16881: Add TypeFlag=>string macro
URL: https://github.com/apache/incubator-mxnet/pull/16881#issuecomment-558878148
@wkcn @haojin2 understood, I will change it to use this
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new 4245d3b Bump the
zhreshold commented on issue #16708: Training an FPN model using grad_req="add"
causes rapid divergence, while manually implemented gradient accumulation
works fine
URL:
https://github.com/apache/incubator-mxnet/issues/16708#issuecomment-558876214
After digging a while, I found several
yzhliu opened a new pull request #16920: [DO NOT MERGE] test fp16 cpu runtime
URL: https://github.com/apache/incubator-mxnet/pull/16920
## Description ##
(Brief description on what this PR is about)
## Checklist ##
### Essentials ###
Please feel free to remove inapplicable
ptrendx opened a new pull request #16919: Backport #16902 to 1.6
URL: https://github.com/apache/incubator-mxnet/pull/16919
Backport #16902 to 1.6
@sxjscience FYI
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szha commented on issue #16754: Is mirroring working with MXNet 1.5.1 Gluon ?
URL:
https://github.com/apache/incubator-mxnet/issues/16754#issuecomment-558869103
mirror option isn't added to Gluon yet.
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haoj pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from d2d4876 Fix memory leak reported by ASAN in NNVM to ONNX conversion
(#15516)
add 8f10d55 [Numpy] Fix
haojin2 merged pull request #16902: [Numpy] Fix imperative basic indexing in
numpy
URL: https://github.com/apache/incubator-mxnet/pull/16902
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haojin2 closed issue #16887: [Numpy] Bug of basic indexing
URL: https://github.com/apache/incubator-mxnet/issues/16887
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wkcn edited a comment on issue #15516: Fix memory leak reported by ASAN in NNVM
to ONNX conversion
URL: https://github.com/apache/incubator-mxnet/pull/15516#issuecomment-558862408
Merged.
It is a tiny change to modify the template type, and keep the original
variable name.
We can
wkcn 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-558862408
Merged.
It is a tiny change to change the template type, and keep the original
variable name.
We can modify
pengzhao-intel commented on issue #16830: CI error in unix gpu
test_quantization_gpu.test_quantized_conv
URL:
https://github.com/apache/incubator-mxnet/issues/16830#issuecomment-558862368
https://github.com/apache/incubator-mxnet/pull/16866
pengzhao-intel commented on issue #16830: CI error in unix gpu
test_quantization_gpu.test_quantized_conv
URL:
https://github.com/apache/incubator-mxnet/issues/16830#issuecomment-558862104
> Happening again:
pengzhao-intel edited a comment on issue #16830: CI error in unix gpu
test_quantization_gpu.test_quantized_conv
URL:
https://github.com/apache/incubator-mxnet/issues/16830#issuecomment-558862104
> @xinyu-intel @PatricZhao Anyone could take a look?
Yes, @xinyu-intel is looking for
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wkcn pushed a change to branch master
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from 6b00b2c Allow loading from model files with empty weights. (#16061)
add d2d4876 Fix memory leak
wkcn merged pull request #15516: Fix memory leak reported by ASAN in NNVM to
ONNX conversion
URL: https://github.com/apache/incubator-mxnet/pull/15516
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wkcn pushed a change to branch master
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from a11b7ea Try to fix CI (#16908)
add 6b00b2c Allow loading from model files with empty weights. (#16061)
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from a11b7ea Try to fix CI (#16908)
add 6b00b2c Allow loading from model files with empty weights. (#16061)
wkcn commented on issue #16061: Allow loading from model files with empty
weights.
URL: https://github.com/apache/incubator-mxnet/pull/16061#issuecomment-558860811
Merged. Thank you for the fix : )
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wkcn merged pull request #16061: Allow loading from model files with empty
weights.
URL: https://github.com/apache/incubator-mxnet/pull/16061
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sxjscience commented on issue #16917: Revert "Try to fix CI (#16908)"
URL: https://github.com/apache/incubator-mxnet/pull/16917#issuecomment-558860463
@larroy It seems that the additional dependencies have partially fixed the
issue.
sxjscience closed pull request #16917: Revert "Try to fix CI (#16908)"
URL: https://github.com/apache/incubator-mxnet/pull/16917
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eric-haibin-lin opened a new issue #16918: Configurable log interval for
estimator
URL: https://github.com/apache/incubator-mxnet/issues/16918
Currently the gluon Estimator has a LoggingHandler, which supports logging
per batch and per epoch. It would be good to have a configurable
sxjscience commented on issue #16902: [Numpy] Fix imperative basic indexing in
numpy
URL: https://github.com/apache/incubator-mxnet/pull/16902#issuecomment-558847792
@ptrendx Sorry for the confusion. This one actually fixes #16887 I've
mistakenly pointed to the other one.
ptrendx commented on issue #16902: [Numpy] Fix imperative basic indexing in
numpy
URL: https://github.com/apache/incubator-mxnet/pull/16902#issuecomment-558847500
@sxjscience I'm confused. The issue tagged 1.6.0 is #16887 and I thought you
will make the separate fix for that issue, not
ptrendx commented on issue #16895: Fix ndarray indexing bug
URL: https://github.com/apache/incubator-mxnet/pull/16895#issuecomment-558846371
@reminisce could you merge with the latest master to pick up this fix for
the cpp test?
sxjscience commented on issue #16917: Revert "Try to fix CI (#16908)"
URL: https://github.com/apache/incubator-mxnet/pull/16917#issuecomment-558841809
@larroy
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sxjscience opened a new pull request #16917: Revert "Try to fix CI (#16908)"
URL: https://github.com/apache/incubator-mxnet/pull/16917
This reverts commit a11b7eaca6cda5f560c315a30093256f9a455cc2.
## Description ##
Unfortunately the previous attempt did not fix the CI problem and
sxjscience commented on issue #16908: Try to fix CI
URL: https://github.com/apache/incubator-mxnet/pull/16908#issuecomment-558840874
@larroy Yes, we should revert it
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larroy commented on issue #16908: Try to fix CI
URL: https://github.com/apache/incubator-mxnet/pull/16908#issuecomment-558839335
https://github.com/apache/incubator-mxnet/issues/16478#issuecomment-558771696
This is an
larroy commented on issue #16908: Try to fix CI
URL: https://github.com/apache/incubator-mxnet/pull/16908#issuecomment-558837490
If this change is not fixing the failure, could we revert it if the
additional deps are not needed?
larroy commented on issue #16908: Try to fix CI
URL: https://github.com/apache/incubator-mxnet/pull/16908#issuecomment-558837202
this could be a Docker cache issue. I can't reproduce locally. TVM lib seems
corrupted.
This is
larroy edited a comment on issue #16908: Try to fix CI
URL: https://github.com/apache/incubator-mxnet/pull/16908#issuecomment-558837202
this could be a ccache cache issue. I can't reproduce locally. TVM lib seems
corrupted.
haojin2 commented on issue #16830: CI error in unix gpu
test_quantization_gpu.test_quantized_conv
URL:
https://github.com/apache/incubator-mxnet/issues/16830#issuecomment-558832803
Happening again:
guoquan commented on issue #16864: [Discussion] 1.7.0 Roadmap
URL:
https://github.com/apache/incubator-mxnet/issues/16864#issuecomment-558830286
Let's have it then. #16916 I would (personally) focus it to requesting
support for XLA devices.
It would be helpful in the way that it
guoquan opened a new issue #16916: Support for XLA devices
URL: https://github.com/apache/incubator-mxnet/issues/16916
## Description
(A clear and concise description of what the feature is.)
- If the proposal is about a new model, provide description of what the
model is.
- If
haojin2 opened a new pull request #16915: Add NumPy-compatible left_shift and
right_shift
URL: https://github.com/apache/incubator-mxnet/pull/16915
## Description ##
As title.
## Checklist ##
### Essentials ###
Please feel free to remove inapplicable items for your PR.
-
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lanking pushed a commit to branch v1.6.x
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git
The following commit(s) were added to refs/heads/v1.6.x by this push:
new 121739a updating MXNet version to
lanking520 merged pull request #16906: Bumping MXNet version to 1.6.0 in base.h
for C APIs
URL: https://github.com/apache/incubator-mxnet/pull/16906
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haidark edited a comment on issue #16701: Hybridize and recursive conditional
operator gradient/trainer bug
URL:
https://github.com/apache/incubator-mxnet/issues/16701#issuecomment-558737775
bump for update and edit:
EDIT* We found out it is related to passing a variable through
access2rohit commented on issue #16906: Bumping MXNet version to 1.6.0 in
base.h for C APIs
URL: https://github.com/apache/incubator-mxnet/pull/16906#issuecomment-558803632
@mxnet-label-bot add [pr-awaiting-merge]
This is an
artor1os opened a new pull request #16914: [Numpy] Implement atleast_1d,
atleast_2d, atleast_3d
URL: https://github.com/apache/incubator-mxnet/pull/16914
## Description ##
Implement atleast_1d, atleast_2d, atleast_3d
## Checklist ##
### Essentials ###
Please feel free to
eric-haibin-lin commented on a change in pull request #16903: changing data
type of 't' to int in lamb_update_phase1
URL: https://github.com/apache/incubator-mxnet/pull/16903#discussion_r350943950
##
File path: src/operator/optimizer_op-inl.h
##
@@ -1639,8 +1639,8 @@
eric-haibin-lin commented on a change in pull request #16903: changing data
type of 't' to int in lamb_update_phase1
URL: https://github.com/apache/incubator-mxnet/pull/16903#discussion_r350943950
##
File path: src/operator/optimizer_op-inl.h
##
@@ -1639,8 +1639,8 @@
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sxjscience pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from c9585bd Fix the problem in printing feature in c++ API examples :
feature_extract (#15686)
add
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from c9585bd Fix the problem in printing feature in c++ API examples :
feature_extract (#15686)
add
sxjscience merged pull request #16908: Try to fix CI
URL: https://github.com/apache/incubator-mxnet/pull/16908
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ChaiBapchya commented on issue #16906: Bumping MXNet version to 1.6.0 in base.h
for C APIs
URL: https://github.com/apache/incubator-mxnet/pull/16906#issuecomment-558772944
@ptrendx prima facie (I could see lots of pipelines timing out) Need to dig
deep to find out where exactly was it
access2rohit commented on issue #16905: updating MXNet version to 1.6.0 in
base.h for C APIs
URL: https://github.com/apache/incubator-mxnet/pull/16905#issuecomment-558772297
> @access2rohit Since the 1.6.x branch is already diverged from master,
there is no need to do this 1.6 step I
ChaiBapchya commented on issue #16478: CI unix-gpu GPU:CMake build failures
URL:
https://github.com/apache/incubator-mxnet/issues/16478#issuecomment-558771696
Another one here (unrelated PR #16894 )
ptrendx commented on issue #16905: updating MXNet version to 1.6.0 in base.h
for C APIs
URL: https://github.com/apache/incubator-mxnet/pull/16905#issuecomment-558770227
@access2rohit Since the 1.6.x branch is already diverged from master, there
is no need to do this 1.6 step I think - we
access2rohit commented on issue #16905: updating MXNet version to 1.6.0 in
base.h for C APIs
URL: https://github.com/apache/incubator-mxnet/pull/16905#issuecomment-558768357
> ?
@samskalicky Sure! I think we should first bump master to 1.6 and then again
to 1.7. Does that makes
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new 7061f4a Bump the
ChaiBapchya commented on issue #16830: CI error in unix gpu
test_quantization_gpu.test_quantized_conv
URL:
https://github.com/apache/incubator-mxnet/issues/16830#issuecomment-558745418
Happening again
haidark commented on issue #16701: Hybridize, conditional operator, and loop
gradient/trainer bug
URL:
https://github.com/apache/incubator-mxnet/issues/16701#issuecomment-558737775
bump for update
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lanking520 commented on issue #16906: Bumping MXNet version to 1.6.0 in base.h
for C APIs
URL: https://github.com/apache/incubator-mxnet/pull/16906#issuecomment-558735807
restarted all the tests
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samskalicky commented on issue #16905: updating MXNet version to 1.6.0 in
base.h for C APIs
URL: https://github.com/apache/incubator-mxnet/pull/16905#issuecomment-558731525
@access2rohit shouldnt we be changing master to 1.7?
ptrendx commented on issue #16906: Bumping MXNet version to 1.6.0 in base.h for
C APIs
URL: https://github.com/apache/incubator-mxnet/pull/16906#issuecomment-558727945
@ChaiBapchya @larroy all those failed builds are because of a hang during
compilation, what can we do to diagnose and fix
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The following commit(s) were added to refs/heads/v1.6.x by this push:
new 00f169f port shape op to 1.6.x
ptrendx merged pull request #16912: Port shape op to 1.6.x
URL: https://github.com/apache/incubator-mxnet/pull/16912
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in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git
The following commit(s) were added to refs/heads/v1.6.x by this push:
new 4c41afd Backport of #16827, #16791
ptrendx merged pull request #16901: Backport of #16827, #16791 and #16888 to
1.6 branch
URL: https://github.com/apache/incubator-mxnet/pull/16901
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wkcn commented on issue #16909: Build with cv 4.0
URL: https://github.com/apache/incubator-mxnet/pull/16909#issuecomment-558701043
@ewail Welcome to submit the PR : )
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wkcn pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from 6c7ce24 Revert "Mkldnn fullyConnect bwd bug fix (#16890)" (#16907)
add c9585bd Fix the problem in
wkcn merged pull request #15686: Fix the problem in printing feature in c++ API
examples : feature_extract
URL: https://github.com/apache/incubator-mxnet/pull/15686
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wkcn commented on issue #15686: Fix the problem in printing feature in c++ API
examples : feature_extract
URL: https://github.com/apache/incubator-mxnet/pull/15686#issuecomment-558680338
Merged. Thanks for your contribution!
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