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leezu commented on issue #18600:
URL:
https://github.com/apache/incubator-mxnet/issues/18600#issuecomment-649254190
@ciyongch should this be fixed for 1.7 release? I'd expect that users would
like to use latest MXNet version with latest numpy.
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szhengac opened a new pull request #18620:
URL: https://github.com/apache/incubator-mxnet/pull/18620
## Description ##
Add LANS optimizer for BERT pretraining: http://arxiv.org/abs/2006.13484
@eric-haibin-lin
This
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leezu opened a new pull request #18619:
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leezu opened a new issue #18618:
URL: https://github.com/apache/incubator-mxnet/issues/18618
```
[2020-06-24T20:40:36.419Z] === FAILURES
===
[2020-06-24T20:40:36.419Z] _
test_contrib_DataLoaderIte
leezu commented on issue #15393:
URL:
https://github.com/apache/incubator-mxnet/issues/15393#issuecomment-649134799
The gcc memory leak is tracked in
https://github.com/apache/incubator-mxnet/issues/18501
It would be helpful to find a minimal reproducing example and report the bug
ups
leezu commented on issue #18501:
URL:
https://github.com/apache/incubator-mxnet/issues/18501#issuecomment-649134479
According to
https://github.com/apache/incubator-mxnet/issues/15393#issuecomment-649127482
the leak already occurs with gcc8
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MyraBaba commented on issue #15393:
URL:
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I succeed to compile mxnet with g++-7
g++-8 and above using too much memory.
Best
T
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sandeep-krishnamurthy closed issue #16293:
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szha commented on issue #18617:
URL:
https://github.com/apache/incubator-mxnet/issues/18617#issuecomment-649103843
I started working on this in #17196 but didn't get the time to finish yet. I
will try to prioritize.
This is
ma-hei edited a comment on pull request #18445:
URL: https://github.com/apache/incubator-mxnet/pull/18445#issuecomment-649099499
@Roshrini I found an issue when updating onnx from 1.5.0 to 1.7.0. The issue
can be reproduced with python 3.6. The following code reproduces the issue. Do
you h
ma-hei commented on pull request #18445:
URL: https://github.com/apache/incubator-mxnet/pull/18445#issuecomment-649099499
@Roshrini I found an issue when updating onnx from 1.5.0 to 1.7.0. The issue
can be reproduced with python 3.6. The following core reproduces the issue. Do
you have any
ma-hei edited a comment on pull request #18445:
URL: https://github.com/apache/incubator-mxnet/pull/18445#issuecomment-649099499
@Roshrini I found an issue when updating onnx from 1.5.0 to 1.7.0. The issue
can be reproduced with python 3.6. The following core reproduces the issue. Do
you h
anko-intel commented on issue #14357:
URL:
https://github.com/apache/incubator-mxnet/issues/14357#issuecomment-649069970
Hi @adrianloy,
Using autograd.record() with default value of train_mode = True causes
BatchNorm to use currently given batch data to calculate mean and variance
va
leezu commented on pull request #18589:
URL: https://github.com/apache/incubator-mxnet/pull/18589#issuecomment-649001929
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sxjscience opened a new issue #18617:
URL: https://github.com/apache/incubator-mxnet/issues/18617
For example, some losses won't support setting `batch_axis`, e.g.:
https://github.com/apache/incubator-mxnet/blob/4b86c32832a994e76b97dfc58c8a672db87e721d/python/mxnet/gluon/loss.py#L299-L30
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mxnet-bot commented on pull request #18616:
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leezu opened a new pull request #18616:
URL: https://github.com/apache/incubator-mxnet/pull/18616
> 2) Why say "they might contain software components with more restrictive
licenses than the Apache License" where they clearly do contain more
restrictive licenses.
https://issues.ap
leezu commented on pull request #18587:
URL: https://github.com/apache/incubator-mxnet/pull/18587#issuecomment-648968898
> I am not sure how this bug was imported, will fix it in another PR.
I didn't see the bug locally previously on the public site due to the cache.
Thank you @ys28
leezu commented on a change in pull request #18478:
URL: https://github.com/apache/incubator-mxnet/pull/18478#discussion_r445065324
##
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ciyongch commented on pull request #18478:
URL: https://github.com/apache/incubator-mxnet/pull/18478#issuecomment-648784768
Hi @szha @leezu @ChaiBapchya , please help to take a review for the new
changes/updates.
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access2rohit commented on pull request #18612:
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adrianloy commented on issue #14357:
URL:
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I do see that there is no difference between CPU and GPU anymore so I guess
I can close this. What I dont really understand is why the accuracy outside
autograd is so mu
hanke580 commented on a change in pull request #17857:
URL: https://github.com/apache/incubator-mxnet/pull/17857#discussion_r444793439
##
File path: src/api/operator/numpy/np_elemwise_broadcast_logic_op.cc
##
@@ -71,4 +71,12 @@ MXNET_REGISTER_API("_npi.less_equal")
UFuncHelp
pedrooct edited a comment on issue #16379:
URL:
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> @aGiant or @pedrooct Could you kindly share the reference link for the
complete set of instructions for building mxnet on raspberry pi. Thanks
HI, i create
pedrooct commented on issue #16379:
URL:
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> @aGiant or @pedrooct Could you kindly share the reference link for the
complete set of instructions for building mxnet on raspberry pi. Thanks
HI, i created this
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szha commented on pull request #18601:
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@RuRo yes sorry about the confusion. I noticed that the master branch CI
check was broken afterwards. Thanks for the patch
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szha merged pull request #18601:
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access2rohit commented on a change in pull request #17882:
URL: https://github.com/apache/incubator-mxnet/pull/17882#discussion_r444736360
##
File path: src/operator/tensor/broadcast_reduce_op.h
##
@@ -1058,22 +1065,58 @@ struct broadcast_kernel {
mxnet-bot commented on pull request #18615:
URL: https://github.com/apache/incubator-mxnet/pull/18615#issuecomment-648666116
Hey @JiangZhaoh , Thanks for submitting the PR
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JiangZhaoh opened a new pull request #18615:
URL: https://github.com/apache/incubator-mxnet/pull/18615
## Description ##
A draft!
## Checklist ##
### Essentials ###
Please feel free to remove inapplicable items for your PR.
- [ ] The PR title starts with [MXNET-$JIRA_ID],
Yiyan66 commented on pull request #18614:
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