fhieber opened a new issue #17976: No recent nightly builds for ubuntu-latest
URL: https://github.com/apache/incubator-mxnet/issues/17976
## Description
It seems that no recent nightly builds for mxnet-1.7 are published for linux.
The latest nightly build found by the install
wuxun-zhang commented on issue #17884: [MKL-DNN] Integrate Conv3d and Pool3d/1d
URL: https://github.com/apache/incubator-mxnet/pull/17884#issuecomment-609364511
Now DNNL version in master branch has been wrongly changed (from v1.2.2 to
v1.1.2). This PR is now waiting for DNNL v1.2 or
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sandeep-krishnamurthy commented on issue #17711: [ONNX export] Fixing spatial
export for batchnorm
URL: https://github.com/apache/incubator-mxnet/pull/17711#issuecomment-609372537
@mxnet-bot run ci [unix-gpu]
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mxnet-bot commented on issue #17711: [ONNX export] Fixing spatial export for
batchnorm
URL: https://github.com/apache/incubator-mxnet/pull/17711#issuecomment-609372553
Jenkins CI successfully triggered : [unix-gpu]
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TaoLv commented on issue #17084: [numpy] add op median
URL: https://github.com/apache/incubator-mxnet/pull/17084#issuecomment-609372757
@Yiyan66 @haojin2 Is the down grade of 3rdparth/mkldnn intended or a mistake?
This is an
lilongyue commented on issue #17874: Build Error
URL:
https://github.com/apache/incubator-mxnet/issues/17874#issuecomment-609421041
@leezu @apeforest i think i got the same build bug in the latest repository.
i changed nothing of the cMakeLists.txt , i imported the whole project to my
lilongyue commented on issue #17874: Build Error
URL:
https://github.com/apache/incubator-mxnet/issues/17874#issuecomment-609425157
@guanxinq @leezu @apeforest @ry
i checked the code , and i simply change this line in the file :
'incubator-mxnet/include/dmlc/concurrentqueue.h'
QueensGambit commented on issue #17827: [Numpy] Bugfix of slice operator export
(MXNet to ONNX)
URL: https://github.com/apache/incubator-mxnet/pull/17827#issuecomment-609433068
Hi, there is actually an additional problem:
The function `create_onnx_graph_proto()` assumes that `in_shape`
sjtuWangDing commented on issue #17950: [Numpy] Add op linalg.lstsq
URL: https://github.com/apache/incubator-mxnet/pull/17950#issuecomment-609446900
@mxnet-bot run ci [unix-gpu]
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mxnet-bot commented on issue #17950: [Numpy] Add op linalg.lstsq
URL: https://github.com/apache/incubator-mxnet/pull/17950#issuecomment-609446916
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lilongyue commented on issue #17874: Build Error
URL:
https://github.com/apache/incubator-mxnet/issues/17874#issuecomment-609426665
@guanxinq @leezu @apeforest @ry , this looks like a strange thing can
anyone explain why ?
TaoLv commented on issue #17906: Optimize AddTakeGrad Tensor Sum
URL: https://github.com/apache/incubator-mxnet/pull/17906#issuecomment-609429305
@ElaineBao Thank you. Impressive speedup!
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TaoLv commented on issue #17906: Optimize AddTakeGrad Tensor Sum
URL: https://github.com/apache/incubator-mxnet/pull/17906#issuecomment-609430145
> Sorry for the late reply.
I tried to use opperf, but it doesn't work, some error throwed out when I
was using it:
File
mxnet-bot commented on issue #17851: [Numpy] np.linalg.qr forward implementation
URL: https://github.com/apache/incubator-mxnet/pull/17851#issuecomment-609476498
Jenkins CI successfully triggered : [unix-gpu]
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D-Roberts commented on issue #17851: [Numpy] np.linalg.qr forward implementation
URL: https://github.com/apache/incubator-mxnet/pull/17851#issuecomment-609476487
@mxnet-bot run ci [unix-gpu]
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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 327becc Bump the
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lausen pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from b6edefb CI: Re-enable code coverage for CPU builds (#17889)
add 2fff11d [OpPerf] Fix axis_shape and
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lausen pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from b6edefb CI: Re-enable code coverage for CPU builds (#17889)
add 2fff11d [OpPerf] Fix axis_shape and
RuRo commented on issue #17734: [MXNET-889] Implement ONNX export for gluon
LSTM.
URL: https://github.com/apache/incubator-mxnet/pull/17734#issuecomment-609469361
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RuRo removed a comment on issue #17734: [MXNET-889] Implement ONNX export for
gluon LSTM.
URL: https://github.com/apache/incubator-mxnet/pull/17734#issuecomment-609038723
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mxnet-bot commented on issue #17734: [MXNET-889] Implement ONNX export for
gluon LSTM.
URL: https://github.com/apache/incubator-mxnet/pull/17734#issuecomment-609469374
Jenkins CI successfully triggered : [unix-gpu]
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RuRo removed a comment on issue #17734: [MXNET-889] Implement ONNX export for
gluon LSTM.
URL: https://github.com/apache/incubator-mxnet/pull/17734#issuecomment-609469361
@mxnet-bot run ci [unix-gpu]
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RuRo removed a comment on issue #17734: [MXNET-889] Implement ONNX export for
gluon LSTM.
URL: https://github.com/apache/incubator-mxnet/pull/17734#issuecomment-609007533
@mxnet-bot run ci [unix-cpu, unix-gpu]
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leezu merged pull request #17894: [OpPerf] Fix axis_shape and function mismatch
for LTS
URL: https://github.com/apache/incubator-mxnet/pull/17894
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leezu commented on issue #17894: [OpPerf] Fix axis_shape and function mismatch
for LTS
URL: https://github.com/apache/incubator-mxnet/pull/17894#issuecomment-609459017
@mxnet-bot run ci [unix-cpu, unix-gpu, centos-cpu]
This
mxnet-bot commented on issue #17894: [OpPerf] Fix axis_shape and function
mismatch for LTS
URL: https://github.com/apache/incubator-mxnet/pull/17894#issuecomment-609459039
Jenkins CI successfully triggered : [unix-gpu, centos-cpu, unix-cpu]
leezu commented on issue #17906: Optimize AddTakeGrad Tensor Sum
URL: https://github.com/apache/incubator-mxnet/pull/17906#issuecomment-609459052
Opperf to be fixed by https://github.com/apache/incubator-mxnet/pull/17894
This
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lausen pushed a change to branch leezu-patch-2
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from 673f028 Skip gluon data tests with multi-worker on OSX
add 6850fa4 Fix whitespace
No new
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lausen pushed a change to branch leezu-patch-2
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from 673f028 Skip gluon data tests with multi-worker on OSX
add 6850fa4 Fix whitespace
No new
rondogency commented on issue #17762: Custom Operator Random Number Generator
Support
URL: https://github.com/apache/incubator-mxnet/pull/17762#issuecomment-609475750
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mxnet-bot commented on issue #17762: Custom Operator Random Number Generator
Support
URL: https://github.com/apache/incubator-mxnet/pull/17762#issuecomment-609475765
Jenkins CI successfully triggered : [unix-gpu]
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ChaiBapchya closed pull request #16712: update default windows Visual Studio
from 2015 to 2017
URL: https://github.com/apache/incubator-mxnet/pull/16712
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ChaiBapchya commented on issue #16712: update default windows Visual Studio
from 2015 to 2017
URL: https://github.com/apache/incubator-mxnet/pull/16712#issuecomment-609477715
Closing in favor of https://github.com/apache/incubator-mxnet/pull/17962
tobecontinued commented on issue #17754: [MXNET-978] Higher Order Gradient
Support broadcast_to, broadcast_power, power, elemwise_mul and elemwise_sub and
add unit test function check check_nth_order_binary
URL: https://github.com/apache/incubator-mxnet/pull/17754#issuecomment-609389421
mxnet-bot commented on issue #17754: [MXNET-978] Higher Order Gradient Support
broadcast_to, broadcast_power, power, elemwise_mul and elemwise_sub and add
unit test function check check_nth_order_binary
URL: https://github.com/apache/incubator-mxnet/pull/17754#issuecomment-609389440
mxnet-bot commented on issue #17977: Relaxing type requirements for
broadcast_like
URL: https://github.com/apache/incubator-mxnet/pull/17977#issuecomment-609425853
Hey @tobecontinued , Thanks for submitting the PR
All tests are already queued to run once. If tests fail, you can trigger
tobecontinued opened a new pull request #17977: Relaxing type requirements for
broadcast_like
URL: https://github.com/apache/incubator-mxnet/pull/17977
## Description ##
Similarly to #14097, broadcast_like op should also not dictate the type of
its second argument (since only shape
konioyxgq commented on issue #17953: Models saved at different training stages
with different forward speeds
URL:
https://github.com/apache/incubator-mxnet/issues/17953#issuecomment-609382181
Thank you very much for your reply.
This situation occurs. Is it because of what went wrong
tobecontinued commented on issue #17754: [MXNET-978] Higher Order Gradient
Support broadcast_to, broadcast_power, power, elemwise_mul and elemwise_sub and
add unit test function check check_nth_order_binary
URL: https://github.com/apache/incubator-mxnet/pull/17754#issuecomment-609400580
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aaronmarkham 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 cbcfd23 Bump the
RuRo commented on issue #17953: Models saved at different training stages with
different forward speeds
URL:
https://github.com/apache/incubator-mxnet/issues/17953#issuecomment-609412044
I don't think, this situation necessarily means, that there is something
wrong with your
wkcn commented on issue #17975: [WIP][Fix Bug] Fix the wrong result of
`mx.np.mean` and `mx.np.sum` when the input contains np.inf
URL: https://github.com/apache/incubator-mxnet/pull/17975#issuecomment-609374937
@mxnet-bot run ci [macosx-x86_64]
mxnet-bot commented on issue #17975: [WIP][Fix Bug] Fix the wrong result of
`mx.np.mean` and `mx.np.sum` when the input contains np.inf
URL: https://github.com/apache/incubator-mxnet/pull/17975#issuecomment-609374946
None of the jobs entered are supported.
Jobs entered by user:
QueensGambit edited a comment on issue #17942: error when slice_axis exporting
to onnx
URL:
https://github.com/apache/incubator-mxnet/issues/17942#issuecomment-609403266
Hi @becauseofAI,
I also experienced issues with the slice operator export and created a PR
about this:
QueensGambit commented on issue #17942: error when slice_axis exporting to onnx
URL:
https://github.com/apache/incubator-mxnet/issues/17942#issuecomment-609403266
Hi @becauseofAI,
I also experienced issues with the slice operator export and created a PR
about this:
QueensGambit edited a comment on issue #17942: error when slice_axis exporting
to onnx
URL:
https://github.com/apache/incubator-mxnet/issues/17942#issuecomment-609403266
Hi @becauseofAI,
I also experienced issues with the slice operator export and created a PR
about this:
QueensGambit commented on issue #17621: get_inputs function in ONNX
_op_translations.py does not support Nodes with multiple outputs
URL:
https://github.com/apache/incubator-mxnet/issues/17621#issuecomment-609406400
Hi @ThomasGmeinder ,
I also created a PR wit a unit-test about this:
mxnet-bot commented on issue #17975: [WIP][Fix Bug] Fix the wrong result of
`mx.np.mean` and `mx.np.sum` when the input contains np.inf
URL: https://github.com/apache/incubator-mxnet/pull/17975#issuecomment-609388940
Jenkins CI successfully triggered : [unix-gpu]
wkcn commented on issue #17975: [WIP][Fix Bug] Fix the wrong result of
`mx.np.mean` and `mx.np.sum` when the input contains np.inf
URL: https://github.com/apache/incubator-mxnet/pull/17975#issuecomment-609388922
@mxnet-bot run ci [unix-gpu]
kshitij12345 commented on issue #17754: [MXNET-978] Higher Order Gradient
Support broadcast_to, broadcast_power, power, elemwise_mul and elemwise_sub and
add unit test function check check_nth_order_binary
URL: https://github.com/apache/incubator-mxnet/pull/17754#issuecomment-609400972
QueensGambit edited a comment on issue #17942: error when slice_axis exporting
to onnx
URL:
https://github.com/apache/incubator-mxnet/issues/17942#issuecomment-609403266
Hi @becauseofAI,
I also experienced issues with the slice operator export and created a PR
about this:
leezu commented on a change in pull request #13707: [MXNET-1188] Maven
Publishing Test Environments
URL: https://github.com/apache/incubator-mxnet/pull/13707#discussion_r403814005
##
File path: ci/docker/install/ubuntu_base.sh
##
@@ -0,0 +1,36 @@
+#!/usr/bin/env bash
+
+#
ChaiBapchya commented on issue #17894: [OpPerf] Fix axis_shape and function
mismatch for LTS
URL: https://github.com/apache/incubator-mxnet/pull/17894#issuecomment-609554808
There's no text for OpPerf per se. But for every PR related to opperf, run
the test utility and confirm if its
tobecontinued commented on issue #17977: Relaxing type requirements for
broadcast_like
URL: https://github.com/apache/incubator-mxnet/pull/17977#issuecomment-609562041
@mxnet-label-bot add [Operator, pr-awaiting-review]
This
wkcn commented on issue #17970: fix block.export
URL: https://github.com/apache/incubator-mxnet/pull/17970#issuecomment-609507581
Thanks for your contribution!
Some user-defined operator may use other names except of running_mean and
running_var to store the augmented variables, which
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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 8136b55 Bump the
marcoabreu commented on issue #17894: [OpPerf] Fix axis_shape and function
mismatch for LTS
URL: https://github.com/apache/incubator-mxnet/pull/17894#issuecomment-609514402
No Test!?
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konioyxgq commented on issue #17953: Models saved at different training stages
with different forward speeds
URL:
https://github.com/apache/incubator-mxnet/issues/17953#issuecomment-609522162
Thank you again for your patient response. Thank you very much!!
konioyxgq closed issue #17953: Models saved at different training stages with
different forward speeds
URL: https://github.com/apache/incubator-mxnet/issues/17953
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Elijas removed a comment on issue #11557: Logging in Mxnet, with different
level (verbose, warning, error)
URL:
https://github.com/apache/incubator-mxnet/issues/11557#issuecomment-608585586
Is there a way to set global logging to higher than INFO level, for example
WARNING ?
On
Elijas edited a comment on issue #11557: Logging in Mxnet, with different level
(verbose, warning, error)
URL:
https://github.com/apache/incubator-mxnet/issues/11557#issuecomment-608364212
> You could set MXNET_SUBGRAPH_VERBOSE to 0 and these message will be muted.
@apeforest Thank
mxnet-bot commented on issue #17975: [Fix Bug] Fix the wrong result of
`mx.np.mean` and `mx.np.sum` when the input contains np.inf
URL: https://github.com/apache/incubator-mxnet/pull/17975#issuecomment-609553895
Jenkins CI successfully triggered : [unix-gpu]
wkcn commented on issue #17975: [Fix Bug] Fix the wrong result of `mx.np.mean`
and `mx.np.sum` when the input contains np.inf
URL: https://github.com/apache/incubator-mxnet/pull/17975#issuecomment-609553876
@mxnet-bot run ci [unix-gpu]
ChaiBapchya edited a comment on issue #17894: [OpPerf] Fix axis_shape and
function mismatch for LTS
URL: https://github.com/apache/incubator-mxnet/pull/17894#issuecomment-609554808
There's no test for OpPerf per se. But for every PR related to opperf, PR
Author is expected to run the test
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