DickJC123 opened a new issue #16475: CI saw test_numpy_op.py:test_np_sum failure
URL: https://github.com/apache/incubator-mxnet/issues/16475
## Description
@reminisce @haojin2
Likely needs atol/rtol tweeking. I can reproduce this repeatably with:
MXNET_TEST_SEED=28297241
mxnet-label-bot commented on issue #16475: CI saw test_numpy_op.py:test_np_sum
failure
URL:
https://github.com/apache/incubator-mxnet/issues/16475#issuecomment-541944488
Hey, this is the MXNet Label Bot.
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mseth10 commented on a change in pull request #16451: Fix Nightly Tests for
Binaries
URL: https://github.com/apache/incubator-mxnet/pull/16451#discussion_r334686381
##
File path: ci/docker/Dockerfile.build.ubuntu_nightly_gpu
##
@@ -29,6 +29,7 @@ COPY
DickJC123 opened a new issue #16478: CI unix-gpu GPU:CMake build failures
URL: https://github.com/apache/incubator-mxnet/issues/16478
At least 2 PRs have seen GPU:CMake build failures for the unix-gpu:
mxnet-label-bot commented on issue #16478: CI unix-gpu GPU:CMake build failures
URL:
https://github.com/apache/incubator-mxnet/issues/16478#issuecomment-541971969
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TEChopra1000 opened a new issue #16479: MXNet on the Cloud
URL: https://github.com/apache/incubator-mxnet/issues/16479
There are a few formatting issues on this page, including:
- Code is not showing up in code-blocks
- Misc. characters showing up around sub-headings.
mxnet-label-bot commented on issue #16479: MXNet on the Cloud
URL:
https://github.com/apache/incubator-mxnet/issues/16479#issuecomment-541974338
Hey, this is the MXNet Label Bot.
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pengzhao-intel commented on issue #16468: [mkldnn-1.0] add mkldnn subgraph fc
URL: https://github.com/apache/incubator-mxnet/pull/16468#issuecomment-541990300
please re-trigger CI
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pengzhao-intel commented on issue #16466: [mkldnn-1.0] upgrade int8 concat to
MKLDNN1.0
URL: https://github.com/apache/incubator-mxnet/pull/16466#issuecomment-541990199
please re-trigger the CI
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rondogency commented on a change in pull request #16450: Add test pipeline for
USE_TVM_OP=OFF on Unix
URL: https://github.com/apache/incubator-mxnet/pull/16450#discussion_r334681208
##
File path: ci/jenkins/Jenkins_steps.groovy
##
@@ -25,19 +25,23 @@ utils =
ChaiBapchya commented on a change in pull request #16451: Fix Nightly Tests for
Binaries
URL: https://github.com/apache/incubator-mxnet/pull/16451#discussion_r334685131
##
File path: ci/docker/Dockerfile.build.ubuntu_nightly_gpu
##
@@ -29,6 +29,7 @@ COPY
TEChopra1000 opened a new issue #16481: Broken / Incorrect Links - Gluon: from
experiment to deployment (DOCS)
URL: https://github.com/apache/incubator-mxnet/issues/16481
Broken Links from this page:
mxnet-label-bot commented on issue #16481: Broken / Incorrect Links - Gluon:
from experiment to deployment (DOCS)
URL:
https://github.com/apache/incubator-mxnet/issues/16481#issuecomment-541982989
Hey, this is the MXNet Label Bot.
Thank you for submitting the issue! I will try and
rondogency commented on issue #15921: dynamic custom operator support
URL: https://github.com/apache/incubator-mxnet/pull/15921#issuecomment-541985445
talked with @szha offline and we agree on putting DLTensor support to the
next PR
TEChopra1000 opened a new issue #16482: Broken Links: Handwritten Digit
Recognition (Python)
URL: https://github.com/apache/incubator-mxnet/issues/16482
The following hyperlinked words have broken links in this tutorial:
mxnet-label-bot commented on issue #16482: Broken Links: Handwritten Digit
Recognition (Python)
URL:
https://github.com/apache/incubator-mxnet/issues/16482#issuecomment-541985107
Hey, this is the MXNet Label Bot.
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sxjscience commented on a change in pull request #16465: [Gluon] [Fix] [WIP]
Fix HybridBlock when hybridize is not called
URL: https://github.com/apache/incubator-mxnet/pull/16465#discussion_r334711549
##
File path: python/mxnet/gluon/block.py
##
@@ -1054,34 +1098,16 @@
access2rohit commented on issue #16409: adding tests to verify large tensor
support for more operators
URL: https://github.com/apache/incubator-mxnet/pull/16409#issuecomment-541972834
@anirudh2290 @ChaiBapchya @zheng-da this PR is ready for review
access2rohit commented on issue #16477: added more tests to verify support for
large vector
URL: https://github.com/apache/incubator-mxnet/pull/16477#issuecomment-541972932
@mxnet-label-bot add [pr-awaiting-review]
This is
access2rohit commented on issue #16409: adding tests to verify large tensor
support for more operators
URL: https://github.com/apache/incubator-mxnet/pull/16409#issuecomment-541972734
@mxnet-label-bot add [pr-awaiting-review]
junrushao1994 commented on issue #15921: dynamic custom operator support
URL: https://github.com/apache/incubator-mxnet/pull/15921#issuecomment-541972723
Just talked with @szha and he found out a better way to make `MXTensor` not
diverge from the de facto standard tensor format `DLTensor`
wuxun-zhang commented on issue #16470: [mkldnn-1.0] (pls merge after int8
concat && subgraph fc) add skipped case for mkldnn_v1.0
URL: https://github.com/apache/incubator-mxnet/pull/16470#issuecomment-541978408
Maybe we also need enable unittests for quantized op here
junrushao1994 commented on issue #15921: dynamic custom operator support
URL: https://github.com/apache/incubator-mxnet/pull/15921#issuecomment-541983981
Sounds nice!
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roywei commented on issue #16387: How to manage the parameters units when using
Mxnet for distributed deep learning?
URL:
https://github.com/apache/incubator-mxnet/issues/16387#issuecomment-541915438
Hi @ChrisQiqiang , it depends on what do you want to achieve when you pack
them and
leezu commented on issue #16399: ndarray.load crashes MXNet GPU builds on CPU
machines
URL:
https://github.com/apache/incubator-mxnet/issues/16399#issuecomment-541975033
There is a simple fix at https://github.com/apache/incubator-mxnet/pull/16432
Just requires review
TEChopra1000 opened a new issue #16480: Broken Links - Logistic Regression
Explains (DOCS)
URL: https://github.com/apache/incubator-mxnet/issues/16480
I found a few broken and incorrect links on this page:
mxnet-label-bot commented on issue #16480: Broken Links - Logistic Regression
Explains (DOCS)
URL:
https://github.com/apache/incubator-mxnet/issues/16480#issuecomment-541980207
Hey, this is the MXNet Label Bot.
Thank you for submitting the issue! I will try and suggest some labels so
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The following commit(s) were added to refs/heads/asf-site by this push:
new 379e5a8 Bump the
aaronmarkham merged pull request #16452: [DOC] fix autodoc for spurrious toggles
URL: https://github.com/apache/incubator-mxnet/pull/16452
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chenliu0831 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-541963996
Hi, is there any other action items remaining for this issue? I wonder if we
don't have to
haojin2 commented on a change in pull request #16436: Add sum for boolean type
when not built with TVM
URL: https://github.com/apache/incubator-mxnet/pull/16436#discussion_r334697720
##
File path: tests/python/unittest/test_numpy_op.py
##
@@ -540,7 +542,7 @@ def
access2rohit commented on issue #16477: added more tests to verify support for
large vector
URL: https://github.com/apache/incubator-mxnet/pull/16477#issuecomment-541973013
@anirudh2290 @ChaiBapchya @zheng-da this PR is ready for review
samskalicky commented on issue #15921: dynamic custom operator support
URL: https://github.com/apache/incubator-mxnet/pull/15921#issuecomment-541983523
> Just talked with @szha and he found out a better way to make `MXTensor`
not diverge from the de facto standard tensor format `DLTensor`
access2rohit opened a new pull request #16476: adding large tensor support for
add_n and tests for more ops
URL: https://github.com/apache/incubator-mxnet/pull/16476
## Description ##
Added large tensor support for add_n and tests for:
load()
save()
add_n()
modulo()
access2rohit opened a new pull request #16477: added more tests to verify
support for large tensor
URL: https://github.com/apache/incubator-mxnet/pull/16477
## Description ##
Added large vector support for foloowing ops:
## Checklist ##
### Essentials ###
Please feel
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aaronmarkham pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from 1256976 Fix Nightly Tests for Binaries (#16451)
add 812e504 fix autodoc for spurrious toggles
haojin2 commented on issue #16475: CI saw test_numpy_op.py:test_np_sum failure
URL:
https://github.com/apache/incubator-mxnet/issues/16475#issuecomment-541961337
This happened in numerical gradient check, which is a bit unstable by
nature. I've personally already tested with 1 trials
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aaronmarkham pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from 1256976 Fix Nightly Tests for Binaries (#16451)
add 812e504 fix autodoc for spurrious toggles
leezu commented on a change in pull request #16465: [Gluon] [Fix] [WIP] Fix
HybridBlock when hybridize is not called
URL: https://github.com/apache/incubator-mxnet/pull/16465#discussion_r334702258
##
File path: python/mxnet/gluon/block.py
##
@@ -1054,34 +1098,16 @@ def
leezu commented on a change in pull request #16465: [Gluon] [Fix] [WIP] Fix
HybridBlock when hybridize is not called
URL: https://github.com/apache/incubator-mxnet/pull/16465#discussion_r334725201
##
File path: python/mxnet/gluon/block.py
##
@@ -1054,34 +1098,16 @@ def
Zheweiqiu commented on issue #15892: retinaface model to onnx
URL:
https://github.com/apache/incubator-mxnet/issues/15892#issuecomment-542009062
@luan1412167 Did you replace SoftmaxActivation with softmax and remove all
attribute mode in your .json file?
luan1412167 edited a comment on issue #15892: retinaface model to onnx
URL:
https://github.com/apache/incubator-mxnet/issues/15892#issuecomment-542013740
@Zheweiqiu
![Screenshot from 2019-10-15
luan1412167 edited a comment on issue #15892: retinaface model to onnx
URL:
https://github.com/apache/incubator-mxnet/issues/15892#issuecomment-542013740
@Zheweiqiu
![Screenshot from 2019-10-15
AaronFan1992 commented on issue #15892: retinaface model to onnx
URL:
https://github.com/apache/incubator-mxnet/issues/15892#issuecomment-542015083
@luan1412167 You should read RetinaFace paper carefully. hah
This is an
Zheweiqiu commented on issue #15892: retinaface model to onnx
URL:
https://github.com/apache/incubator-mxnet/issues/15892#issuecomment-542016986
@luan1412167 Your output seems to be feature vector or some intermediate
output rather than bounding box. The name of output layer is "output"
Zheweiqiu commented on issue #15892: retinaface model to onnx
URL:
https://github.com/apache/incubator-mxnet/issues/15892#issuecomment-542023262
@luan1412167 I am using the same script as yours to do the conversion but I
am busy with other stuff and dont get time to do the rightness
luan1412167 commented on issue #15892: retinaface model to onnx
URL:
https://github.com/apache/incubator-mxnet/issues/15892#issuecomment-542025280
@Zheweiqiu thanks you. Can you tell me the architecture output is right?
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reminisce pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from 812e504 fix autodoc for spurrious toggles (#16452)
add 7ce Fix dtype bug (#16467)
No new
ThomasDelteil merged pull request #16442: [Doc] Update the download page with
1.5.1 release
URL: https://github.com/apache/incubator-mxnet/pull/16442
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pengzhao-intel commented on issue #16468: [mkldnn-1.0] add mkldnn subgraph fc
URL: https://github.com/apache/incubator-mxnet/pull/16468#issuecomment-542044915
@rongzha1 rebase again :)
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thomasdelteil pushed a change to branch master
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from 7ce Fix dtype bug (#16467)
add 9ab428e [Doc] Update the download page with 1.5.1 release
pengzhao-intel commented on issue #16466: [mkldnn-1.0] upgrade int8 concat to
MKLDNN1.0
URL: https://github.com/apache/incubator-mxnet/pull/16466#issuecomment-542045309
@ElaineBao maybe still need to rebase the code first
rongzha1 commented on issue #16470: [mkldnn-1.0] (pls merge after int8 concat
&& subgraph fc) add skipped case for mkldnn_v1.0
URL: https://github.com/apache/incubator-mxnet/pull/16470#issuecomment-542000973
> Maybe we also need enable unittests for quantized op here
luan1412167 commented on issue #15892: retinaface model to onnx
URL:
https://github.com/apache/incubator-mxnet/issues/15892#issuecomment-542019322
@Zheweiqiu, @AaronFan1992
`sym = '/home/luandd/Downloads/R50-symbol.json'
params = '/home/luandd/Downloads/R50-.params'
#
luan1412167 edited a comment on issue #15892: retinaface model to onnx
URL:
https://github.com/apache/incubator-mxnet/issues/15892#issuecomment-542019322
@Zheweiqiu, @AaronFan1992
`sym = '/home/luandd/Downloads/R50-symbol.json'
params = '/home/luandd/Downloads/R50-.params'
luan1412167 commented on issue #15892: retinaface model to onnx
URL:
https://github.com/apache/incubator-mxnet/issues/15892#issuecomment-542023933
@Zheweiqiu can you share me your model?
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luan1412167 commented on issue #15892: retinaface model to onnx
URL:
https://github.com/apache/incubator-mxnet/issues/15892#issuecomment-542013740
@Zheweiqiu
![Screenshot from 2019-10-15
reminisce commented on issue #16419: Test failure with
test_numpy_op.test_np_linalg_slogdet on Windows GPU and CPU
URL:
https://github.com/apache/incubator-mxnet/issues/16419#issuecomment-542027462
Please report the issue if you see it again. Closing now.
reminisce closed issue #16419: Test failure with
test_numpy_op.test_np_linalg_slogdet on Windows GPU and CPU
URL: https://github.com/apache/incubator-mxnet/issues/16419
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access2rohit commented on issue #16477: added more tests to verify support for
large vector
URL: https://github.com/apache/incubator-mxnet/pull/16477#issuecomment-542029186
test_large_vector.test_slice ... ok
test_large_vector.test_ndarray_zeros ... ok
xidulu commented on issue #16407: Output of sampling method always has float32
type irrespective of the type of the parameters
URL:
https://github.com/apache/incubator-mxnet/issues/16407#issuecomment-542003259
Hi @rshyamsundar
Good suggestion!
I believe the `dtype` of the output is
sxjscience commented on a change in pull request #16465: [Gluon] [Fix] [WIP]
Fix HybridBlock when hybridize is not called
URL: https://github.com/apache/incubator-mxnet/pull/16465#discussion_r334725782
##
File path: python/mxnet/gluon/block.py
##
@@ -1054,34 +1098,16 @@
Zheweiqiu commented on issue #15892: retinaface model to onnx
URL:
https://github.com/apache/incubator-mxnet/issues/15892#issuecomment-542024658
@luan1412167 I am afraid of not. The company is pretty strict about this and
I am not allowed to upload anything to cloud nor send any file via
luan1412167 commented on issue #15892: retinaface model to onnx
URL:
https://github.com/apache/incubator-mxnet/issues/15892#issuecomment-542033487
@Zheweiqiu where did you download retinaface mxnet model?
This is an
reminisce merged pull request #16467: Fix dtype bug
URL: https://github.com/apache/incubator-mxnet/pull/16467
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reminisce commented on issue #16469: Tests of NumPy interoperability
URL: https://github.com/apache/incubator-mxnet/pull/16469#issuecomment-542042130
Please make sure the test can pass CI.
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samskalicky commented on a change in pull request #16450: Add test pipeline for
USE_TVM_OP=OFF on Unix
URL: https://github.com/apache/incubator-mxnet/pull/16450#discussion_r334756793
##
File path: ci/jenkins/Jenkins_steps.groovy
##
@@ -25,19 +25,23 @@ utils =
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thomasdelteil pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from 7ce Fix dtype bug (#16467)
add 9ab428e [Doc] Update the download page with 1.5.1 release
ElaineBao commented on issue #16466: [mkldnn-1.0] upgrade int8 concat to
MKLDNN1.0
URL: https://github.com/apache/incubator-mxnet/pull/16466#issuecomment-542047369
> @ElaineBao maybe still need to rebase the code first
I have rebased code before PR, and no new changes in mkldnn1.0
ccrop opened a new issue #16483: Matrix operation Bug
URL: https://github.com/apache/incubator-mxnet/issues/16483
1、Matrix operation Bug
2、Errors in obtaining data from a dimension of a matrix。
The same code is fine in numpy、pytorch
3、The code is very simple.
a =
mxnet-label-bot commented on issue #16483: Matrix operation Bug
URL:
https://github.com/apache/incubator-mxnet/issues/16483#issuecomment-542032103
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
TaoLv commented on issue #16442: [Doc] Update the download page with 1.5.1
release
URL: https://github.com/apache/incubator-mxnet/pull/16442#issuecomment-542036853
Is it good to merge now? @ThomasDelteil @aaronmarkham
This
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reminisce pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from 812e504 fix autodoc for spurrious toggles (#16452)
add 7ce Fix dtype bug (#16467)
No new
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reminisce pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from 9ab428e [Doc] Update the download page with 1.5.1 release (#16442)
add 6e0b1a5 [Numpy] Numpy
reminisce merged pull request #16463: Merging numpy-compatible dstack, eye,
vsplit & logspace
URL: https://github.com/apache/incubator-mxnet/pull/16463
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aaronmarkham pushed a commit to branch asf-site
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The following commit(s) were added to refs/heads/asf-site by this push:
new 841b613 Bump the
xidulu commented on issue #16467: Fix dtype bug
URL: https://github.com/apache/incubator-mxnet/pull/16467#issuecomment-541538998
@haojin2
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vexilligera commented on issue #16469: Tests of NumPy interoperability
URL: https://github.com/apache/incubator-mxnet/pull/16469#issuecomment-541542962
@haojin2
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mxnet-label-bot commented on issue #16471: CMake build with MKL_USE_ILP64
throws type mismatch
URL:
https://github.com/apache/incubator-mxnet/issues/16471#issuecomment-541556325
Hey, this is the MXNet Label Bot.
Thank you for submitting the issue! I will try and suggest some labels
dszeto2 opened a new issue #16471: CMake build with MKL_USE_ILP64 throws type
mismatch
URL: https://github.com/apache/incubator-mxnet/issues/16471
When setting `MKL_USE_ILP64` to `On` in the CMake build, the build fails:
```
In file included from
luan1412167 commented on issue #15892: retinaface model to onnx
URL:
https://github.com/apache/incubator-mxnet/issues/15892#issuecomment-541517959
@vandanavk I have changed as your comment
https://github.com/apache/incubator-mxnet/issues/15892#issuecomment-524952771.
However I got error
rongzha1 opened a new pull request #16468: [mkldnn-1.0] add mkldnn subgraph fc
URL: https://github.com/apache/incubator-mxnet/pull/16468
## Description ##
add mkldnn subgraph fc
## Checklist ##
### Essentials ###
Please feel free to remove inapplicable items for your PR.
vexilligera opened a new pull request #16469: Tests of NumPy interoperability
URL: https://github.com/apache/incubator-mxnet/pull/16469
## Description ##
Tests of NumPy interoperability
Tested ops:
np.cumsum
np.ravel
np.reciprocal
np.remainder
np.repeat
np.reshape
rongzha1 opened a new pull request #16470: [mkldnn-1.0] (pls merge after int8
concat && subgraph fc) add skipped case for mkldnn_v1.0
URL: https://github.com/apache/incubator-mxnet/pull/16470
## Description ##
add skipped case for mkldnn_v1.0
## Checklist ##
### Essentials ###
EasitMickly commented on issue #15908: mxnet fails to compile: onnx_pb.h: No
such file or directory
URL:
https://github.com/apache/incubator-mxnet/issues/15908#issuecomment-541521611
> mxnet fails to compile: onnx_pb.h: No such file or directory
> I'm building within a dockerfile shown
luan1412167 commented on issue #15585: mxnet to onnx conversion error
URL:
https://github.com/apache/incubator-mxnet/issues/15585#issuecomment-541547589
@vandanavk which version mxnet and onnx can convert retinaface mxnet to onnx?
Caenorst commented on a change in pull request #15399: Add unit tests for
TensorRT integration and fix some bugs
URL: https://github.com/apache/incubator-mxnet/pull/15399#discussion_r334475440
##
File path: tests/python/gpu/test_tensorrt.py
##
@@ -0,0 +1,437 @@
+#
Caenorst commented on issue #15399: Add unit tests for TensorRT integration and
fix some bugs
URL: https://github.com/apache/incubator-mxnet/pull/15399#issuecomment-541669785
@KellenSunderland can we merge it ? (I did a bunch of modifications since
the last review that you may wanna
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aaronmarkham pushed a commit to branch asf-site
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new 661c8ae Bump the
perdasilva opened a new pull request #16472: [CI] Adds pip requirements file to
nightly gpu ci image
URL: https://github.com/apache/incubator-mxnet/pull/16472
## Description ##
Cache builder job is failing because the nightly gpu image was missing the
requirements file
michaelkr commented on issue #16441: excellent website page "Symbolic
Configuration and Execution in Pictures" missing
URL:
https://github.com/apache/incubator-mxnet/issues/16441#issuecomment-541735143
I'm training a network in the python environment - so gluon is fine there -
but
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taolv pushed a change to branch mkldnn-v1.0
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from 9f77575 [mkldnn-v1.0] Update enabling flag for MKL dropout (#16433)
add d8193c6 Update
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taolv pushed a commit to branch mkldnn-v1.0
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git
commit 43e35a9d3a17d5fd6c6757d9862489006d03f817
Merge: 9f77575 6d6e46b
Author: Tao Lv
AuthorDate: Tue Oct 15
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taolv pushed a change to branch mkldnn-v1.0
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from 9f77575 [mkldnn-v1.0] Update enabling flag for MKL dropout (#16433)
add d8193c6 Update
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taolv pushed a change to branch mkldnn-v1.0
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from 9f77575 [mkldnn-v1.0] Update enabling flag for MKL dropout (#16433)
add d8193c6 Update
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taolv pushed a change to branch mkldnn-v1.0
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from 9f77575 [mkldnn-v1.0] Update enabling flag for MKL dropout (#16433)
add d8193c6 Update
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taolv pushed a change to branch mkldnn-v1.0
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from 9f77575 [mkldnn-v1.0] Update enabling flag for MKL dropout (#16433)
add d8193c6 Update
drivanov commented on a change in pull request #16446: Aggregated zero grad
URL: https://github.com/apache/incubator-mxnet/pull/16446#discussion_r334556951
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File path: src/operator/contrib/reset_arrays-inl.h
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@@ -0,0 +1,99 @@
+/*
+ * Licensed to the Apache Software
drivanov commented on a change in pull request #16446: Aggregated zero grad
URL: https://github.com/apache/incubator-mxnet/pull/16446#discussion_r334564843
##
File path: src/operator/contrib/reset_arrays-inl.h
##
@@ -0,0 +1,99 @@
+/*
+ * Licensed to the Apache Software
DickJC123 commented on a change in pull request #16462: Fix flakey pylint CI
failures
URL: https://github.com/apache/incubator-mxnet/pull/16462#discussion_r334609627
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File path: python/mxnet/numpy_op_signature.py
##
@@ -19,6 +19,7 @@
import sys
import warnings
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