JiangZhaoh closed pull request #18453:
URL: https://github.com/apache/incubator-mxnet/pull/18453
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Kh4L commented on a change in pull request #18405:
URL: https://github.com/apache/incubator-mxnet/pull/18405#discussion_r433642267
##
File path: python/mxnet/symbol/symbol.py
##
@@ -1554,7 +1563,40 @@ def optimize_for(self, backend, args=None, aux=None,
ctx=None, **kwargs):
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bgawrych commented on pull request #18317:
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samskalicky commented on a change in pull request #18405:
URL: https://github.com/apache/incubator-mxnet/pull/18405#discussion_r433638921
##
File path: python/mxnet/symbol/symbol.py
##
@@ -1554,7 +1563,40 @@ def optimize_for(self, backend, args=None, aux=None,
ctx=None,
xinyu-intel commented on pull request #18160:
URL: https://github.com/apache/incubator-mxnet/pull/18160#issuecomment-637298818
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leezu commented on issue #18466:
URL:
https://github.com/apache/incubator-mxnet/issues/18466#issuecomment-637333579
I don't think this is a documentation issue. There is a bug in the backend
implementation using global state wrongly where it mustn't use global state at
all.
ciyongch commented on pull request #18408:
URL: https://github.com/apache/incubator-mxnet/pull/18408#issuecomment-637340013
Ok @leezu, just want to confirm with you, the formal release of OpenBLAS is
preferred for this fix, and we're not targeting to include this fix in the
upcoming 1.7,
mxnet-bot commented on pull request #18464:
URL: https://github.com/apache/incubator-mxnet/pull/18464#issuecomment-637348432
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mseth10 commented on pull request #18464:
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yzhliu closed issue #18299:
URL: https://github.com/apache/incubator-mxnet/issues/18299
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yzhliu merged pull request #18427:
URL: https://github.com/apache/incubator-mxnet/pull/18427
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yzhliu commented on pull request #18427:
URL: https://github.com/apache/incubator-mxnet/pull/18427#issuecomment-637348689
Thanks @BenjaminCHEN2016
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liuyizhi pushed a commit to branch master
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new c59a325 fix mixed type binary logic
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Kh4L commented on a change in pull request #18405:
URL: https://github.com/apache/incubator-mxnet/pull/18405#discussion_r433727571
##
File path: python/mxnet/symbol/symbol.py
##
@@ -1554,7 +1563,40 @@ def optimize_for(self, backend, args=None, aux=None,
ctx=None, **kwargs):
Kh4L commented on a change in pull request #18405:
URL: https://github.com/apache/incubator-mxnet/pull/18405#discussion_r433642267
##
File path: python/mxnet/symbol/symbol.py
##
@@ -1554,7 +1563,40 @@ def optimize_for(self, backend, args=None, aux=None,
ctx=None, **kwargs):
matteosal commented on issue #18078:
URL:
https://github.com/apache/incubator-mxnet/issues/18078#issuecomment-637637711
@yzhliu
Me and @zleyk22 spent some time investigating this and tracking it down. We
managed to track it down to [this
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sxjscience pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from c59a325 fix mixed type binary logic operators (#18427)
add ca2bdb6 [Numpy] [Operator] Fix
leezu edited a comment on issue #18463:
URL:
https://github.com/apache/incubator-mxnet/issues/18463#issuecomment-637648073
Thanks @iblis17 for clarifying. Note that Option 1
> Just download stuff from PyPI, unpack and get the libmxnet.so, maybe some
hacks are needed for Julia.
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pengzhao-intel merged pull request #18160:
URL: https://github.com/apache/incubator-mxnet/pull/18160
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thomasrockhu commented on issue #18421:
URL:
https://github.com/apache/incubator-mxnet/issues/18421#issuecomment-637533073
As far as necessary steps, that's the only one. There is no need for code
changes here. If you have been using the [team
bot](https://docs.codecov.io/docs/team-bot),
jarlostensen commented on issue #15383:
URL:
https://github.com/apache/incubator-mxnet/issues/15383#issuecomment-637583446
This is still an issue, with 1.18.4. am I right? At least I am seeing it
with mxnet 1.16.
This is
leezu commented on issue #18463:
URL:
https://github.com/apache/incubator-mxnet/issues/18463#issuecomment-637648073
Thanks @iblis17 for clarifying. Note that Option 1
> Just download stuff from PyPI, unpack and get the libmxnet.so, maybe some
hacks are needed for Julia.
iblis17 commented on a change in pull request #18461:
URL: https://github.com/apache/incubator-mxnet/pull/18461#discussion_r433970996
##
File path: julia/deps/build.jl
##
@@ -133,7 +133,7 @@ if !libmxnet_detected
name = "mxnet_x64_$(HAS_CUDA ? "vc141_gpu_cu101" :
matteosal edited a comment on issue #18078:
URL:
https://github.com/apache/incubator-mxnet/issues/18078#issuecomment-637637711
@yzhliu
Me and @zleyk22 spent some time investigating this and tracking it down. We
managed to track it down to [this
leezu commented on issue #18397:
URL:
https://github.com/apache/incubator-mxnet/issues/18397#issuecomment-637658150
Another issue https://github.com/apache/incubator-mxnet/issues/18463
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iblis17 commented on issue #18463:
URL:
https://github.com/apache/incubator-mxnet/issues/18463#issuecomment-637620259
well, IIRC that code exists in the era of early stage of MXNet.jl.
I think there are two ways to provide a binary release and replace the
current code
1. Just
sxjscience merged pull request #18467:
URL: https://github.com/apache/incubator-mxnet/pull/18467
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sxjscience pushed a change to branch master
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from c59a325 fix mixed type binary logic operators (#18427)
add ca2bdb6 [Numpy] [Operator] Fix
leezu edited a comment on issue #18463:
URL:
https://github.com/apache/incubator-mxnet/issues/18463#issuecomment-637648073
Thanks @iblis17 for clarifying. Note that Option 1
> Just download stuff from PyPI, unpack and get the libmxnet.so, maybe some
hacks are needed for Julia.
armdebugger commented on issue #17045:
URL:
https://github.com/apache/incubator-mxnet/issues/17045#issuecomment-637566766
met the same issue
any fix or workaround for it?
I tried master branch, v1.4.x, v1.5.x, got the same result
Environment:
Ubuntu 18.04
GCC 7.6
CUDA
sxjscience closed issue #18414:
URL: https://github.com/apache/incubator-mxnet/issues/18414
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patriczhao pushed a change to branch v1.x
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from 3ee8e00 Fix PyPI Packages and Python Docker Images nightly release
(#18222) (#18432)
add 843f278
xinyu-intel commented on pull request #18160:
URL: https://github.com/apache/incubator-mxnet/pull/18160#issuecomment-637493358
@pengzhao-intel ready to merge now:)
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from 3ee8e00 Fix PyPI Packages and Python Docker Images nightly release
(#18222) (#18432)
add 843f278
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marcoabreu commented on issue #18421:
URL:
https://github.com/apache/incubator-mxnet/issues/18421#issuecomment-637512588
Thanks Thomas, I will check with Apache Infra in parallel.
In the meantime, could you elaborate what steps are necessary here to use
the ingration? Which part of
marcoabreu commented on issue #18421:
URL:
https://github.com/apache/incubator-mxnet/issues/18421#issuecomment-637514905
From what I can see, the access for the app has already been granted. What
steps are necessary for us to take here now?
thomasrockhu commented on issue #18421:
URL:
https://github.com/apache/incubator-mxnet/issues/18421#issuecomment-637531416
Hi @marcoabreu, I just checked and everything looks good on our side. Thanks
for the quick turnaround here!
xinyu-intel opened a new pull request #18470:
URL: https://github.com/apache/incubator-mxnet/pull/18470
cherry-pick #18377
@pengzhao-intel @sxjscience
## Description ##
(Brief description on what this PR is about)
## Checklist ##
### Essentials ###
Please feel
mxnet-bot commented on pull request #18470:
URL: https://github.com/apache/incubator-mxnet/pull/18470#issuecomment-637541704
Hey @xinyu-intel , Thanks for submitting the PR
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bgawrych opened a new pull request #18469:
URL: https://github.com/apache/incubator-mxnet/pull/18469
## Description
Backport of [#18320](https://github.com/apache/incubator-mxnet/pull/18320)
(Improve log_softmax op performance by using DNNL support)
mxnet-bot commented on pull request #18469:
URL: https://github.com/apache/incubator-mxnet/pull/18469#issuecomment-637426721
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bgawrych commented on pull request #18316:
URL: https://github.com/apache/incubator-mxnet/pull/18316#issuecomment-637461883
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alexsisu commented on issue #18321:
URL:
https://github.com/apache/incubator-mxnet/issues/18321#issuecomment-637475907
@zhreshold @leezu Im not trying to make use of a segmentation model (fcn)
but of a object detection model (*faster_rcnn_fpn_resnet101_v1d_coco*).
I provided an
bgawrych commented on pull request #18316:
URL: https://github.com/apache/incubator-mxnet/pull/18316#issuecomment-637684229
@ciyongch Everything is alright :) branch 1.x too
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samskalicky commented on a change in pull request #18405:
URL: https://github.com/apache/incubator-mxnet/pull/18405#discussion_r434031972
##
File path: python/mxnet/symbol/symbol.py
##
@@ -1554,7 +1554,37 @@ def optimize_for(self, backend, args=None, aux=None,
ctx=None,
samskalicky commented on a change in pull request #18405:
URL: https://github.com/apache/incubator-mxnet/pull/18405#discussion_r434025481
##
File path: python/mxnet/symbol/symbol.py
##
@@ -1554,7 +1554,37 @@ def optimize_for(self, backend, args=None, aux=None,
ctx=None,
leezu commented on issue #17045:
URL:
https://github.com/apache/incubator-mxnet/issues/17045#issuecomment-637698822
Set -DMXNET_CUDA_ARCH=7.0 or whatever arch you're targeting as workaround.
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samskalicky commented on a change in pull request #18405:
URL: https://github.com/apache/incubator-mxnet/pull/18405#discussion_r434025481
##
File path: python/mxnet/symbol/symbol.py
##
@@ -1554,7 +1554,37 @@ def optimize_for(self, backend, args=None, aux=None,
ctx=None,
ys2843 commented on pull request #18434:
URL: https://github.com/apache/incubator-mxnet/pull/18434#issuecomment-637675493
@mseth10 @sandeep-krishnamurthy Here is the preview:
samskalicky commented on a change in pull request #18405:
URL: https://github.com/apache/incubator-mxnet/pull/18405#discussion_r434031972
##
File path: python/mxnet/symbol/symbol.py
##
@@ -1554,7 +1554,37 @@ def optimize_for(self, backend, args=None, aux=None,
ctx=None,
samskalicky commented on a change in pull request #18405:
URL: https://github.com/apache/incubator-mxnet/pull/18405#discussion_r434034058
##
File path: python/mxnet/gluon/block.py
##
@@ -1037,10 +1024,25 @@ def _build_cache(self, *args):
for name in
bgawrych commented on pull request #18469:
URL: https://github.com/apache/incubator-mxnet/pull/18469#issuecomment-637683742
Hey @pengzhao-intel @ciyongch @TaoLv,
as @pengzhao-intel ask cherry-pick is ready :)
This is an
ptrendx commented on a change in pull request #18405:
URL: https://github.com/apache/incubator-mxnet/pull/18405#discussion_r434046978
##
File path: python/mxnet/symbol/symbol.py
##
@@ -1554,7 +1554,37 @@ def optimize_for(self, backend, args=None, aux=None,
ctx=None,
ChaiBapchya commented on issue #17980:
URL:
https://github.com/apache/incubator-mxnet/issues/17980#issuecomment-637751126
@aaraujom any update?
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leezu commented on a change in pull request #18464:
URL: https://github.com/apache/incubator-mxnet/pull/18464#discussion_r434126818
##
File path: cd/mxnet_lib/dynamic/Jenkins_pipeline.groovy
##
@@ -24,7 +24,7 @@
// NOTE: the following variables are referenced in the
mxnet-bot commented on pull request #18464:
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mseth10 commented on pull request #18464:
URL: https://github.com/apache/incubator-mxnet/pull/18464#issuecomment-637696089
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ptrendx commented on a change in pull request #18405:
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##
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##
@@ -1554,7 +1554,37 @@ def optimize_for(self, backend, args=None, aux=None,
ctx=None,
leezu closed issue #18421:
URL: https://github.com/apache/incubator-mxnet/issues/18421
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leezu commented on issue #18421:
URL:
https://github.com/apache/incubator-mxnet/issues/18421#issuecomment-637700017
@marcoabreu thank you for checking with INFRA. I requested the access for
the app as per the suggestions in above linked Apache repo. They stated we
don't need an INFRA
modeste2015 closed pull request #18461:
URL: https://github.com/apache/incubator-mxnet/pull/18461
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aaraujom commented on issue #17980:
URL:
https://github.com/apache/incubator-mxnet/issues/17980#issuecomment-637876815
Hi @ChaiBapchya - I was able to reproduce issue on my end. DNNL is missing
some kernels for very specific problem sizes affecting the gemm size in this
thread. We will
xinyu-intel commented on pull request #18470:
URL: https://github.com/apache/incubator-mxnet/pull/18470#issuecomment-637879109
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szha commented on pull request #17949:
URL: https://github.com/apache/incubator-mxnet/pull/17949#issuecomment-637895610
cc @eric-haibin-lin
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mxnet-bot commented on pull request #18474:
URL: https://github.com/apache/incubator-mxnet/pull/18474#issuecomment-637851414
Hey @ys2843 , Thanks for submitting the PR
All tests are already queued to run once. If tests fail, you can trigger one
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ys2843 opened a new pull request #18474:
URL: https://github.com/apache/incubator-mxnet/pull/18474
## Description ##
Add `Developer Guide` section on Docs & Tutorials" page above FAQ section.
Please see preview.
@ehsanmok @TEChopra1000 @sandeep-krishnamurthy @aaronmarkham
##
ys2843 commented on pull request #18474:
URL: https://github.com/apache/incubator-mxnet/pull/18474#issuecomment-637852466
@mxnet-label-bot add [website]
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szhengac commented on a change in pull request #18403:
URL: https://github.com/apache/incubator-mxnet/pull/18403#discussion_r434254579
##
File path: python/mxnet/gluon/probability/distributions/distribution.py
##
@@ -0,0 +1,196 @@
+# Licensed to the Apache Software Foundation
szhengac commented on a change in pull request #18403:
URL: https://github.com/apache/incubator-mxnet/pull/18403#discussion_r434254579
##
File path: python/mxnet/gluon/probability/distributions/distribution.py
##
@@ -0,0 +1,196 @@
+# Licensed to the Apache Software Foundation
leezu commented on issue #18471:
URL:
https://github.com/apache/incubator-mxnet/issues/18471#issuecomment-637811262
@woreom you can refer to
https://github.com/apache/incubator-mxnet/pull/18472 for a improved guide. If
you have any issues with the updated guide, please comment on the PR.
woreom opened a new issue #18471:
URL: https://github.com/apache/incubator-mxnet/issues/18471
## Description
So I'm following the tutorial on :
https://mxnet.apache.org/get_started/?platform=devices=raspberry-pi;
I'm trying to use opencv and mxnet together for my project. I tried
mxnet-bot commented on pull request #18472:
URL: https://github.com/apache/incubator-mxnet/pull/18472#issuecomment-637810886
Hey @leezu , Thanks for submitting the PR
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leezu opened a new pull request #18472:
URL: https://github.com/apache/incubator-mxnet/pull/18472
Current instructions have some problems:
https://github.com/apache/incubator-mxnet/issues/18471
Remove instructions referring to the use of CI Docker-containers for
cross-compilation.
ys2843 opened a new pull request #18473:
URL: https://github.com/apache/incubator-mxnet/pull/18473
## Description ##
To make several website version dropdowns more manageable and easier to
update, use the `versions` constant in `_config.yml` to dynamically generate
any version
mxnet-bot commented on pull request #18473:
URL: https://github.com/apache/incubator-mxnet/pull/18473#issuecomment-637812385
Hey @ys2843 , Thanks for submitting the PR
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leezu commented on issue #18471:
URL:
https://github.com/apache/incubator-mxnet/issues/18471#issuecomment-637785107
Please use `cmake -DUSE_F16C=0 [...]`. It seems the autodetection is not
working correctly.
This is an
ys2843 commented on pull request #18473:
URL: https://github.com/apache/incubator-mxnet/pull/18473#issuecomment-637812700
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URL: https://github.com/apache/incubator-mxnet/pull/18403#discussion_r434264702
##
File path: python/mxnet/gluon/probability/distributions/distribution.py
##
@@ -0,0 +1,196 @@
+# Licensed to the Apache Software Foundation
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new 4a830db [1.7.x] Backport of LSTM
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nttstar opened a new issue #18475:
URL: https://github.com/apache/incubator-mxnet/issues/18475
## Description
BatchNorm operator with ``scale=False`` can not converge.
### Error Message
No error message, but loss value and training accuracy is abnormal comparing
with
yzhliu commented on issue #17083:
URL:
https://github.com/apache/incubator-mxnet/issues/17083#issuecomment-637930780
(Tentatively) @AntiZpvoh will be helping once he has finished ongoing tasks.
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Kh4L commented on a change in pull request #18405:
URL: https://github.com/apache/incubator-mxnet/pull/18405#discussion_r434298529
##
File path: python/mxnet/symbol/symbol.py
##
@@ -1554,7 +1554,37 @@ def optimize_for(self, backend, args=None, aux=None,
ctx=None, **kwargs):
mk-61 commented on pull request #17949:
URL: https://github.com/apache/incubator-mxnet/pull/17949#issuecomment-637943995
@mxnet-bot run ci [macosx-x86_64]
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mxnet-bot commented on pull request #17949:
URL: https://github.com/apache/incubator-mxnet/pull/17949#issuecomment-637944017
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Jobs entered by user: [macosx-x86_64]
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ys2843 edited a comment on pull request #18473:
URL: https://github.com/apache/incubator-mxnet/pull/18473#issuecomment-637812700
@mxnet-label-bot update [website, pr-awaiting-review]
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pengzhao-intel merged pull request #18469:
URL: https://github.com/apache/incubator-mxnet/pull/18469
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patriczhao pushed a commit to branch v1.x
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git
The following commit(s) were added to refs/heads/v1.x by this push:
new a64825f [v1.x] Backport of improve
pengzhao-intel merged pull request #18470:
URL: https://github.com/apache/incubator-mxnet/pull/18470
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