DickJC123 commented on issue #18657:
URL:
https://github.com/apache/incubator-mxnet/issues/18657#issuecomment-653714608
With cuda 11.0 of course comes support for A100 and TensorFloat-32 (TF32).
FYI, I'm preparing a PR that refactors how our unittests handle tolerances, so
that the
SkySailing commented on issue #18581:
URL:
https://github.com/apache/incubator-mxnet/issues/18581#issuecomment-653710231
how to solve this problem?
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liuyizhi pushed a change to branch master
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from d1b0a09 [numpy] FFI flip, rollaxis, stack (#18614)
add 6462887 [numpy] Fix less/greater bug with
yzhliu closed pull request #18594:
URL: https://github.com/apache/incubator-mxnet/pull/18594
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yzhliu commented on pull request #18594:
URL: https://github.com/apache/incubator-mxnet/pull/18594#issuecomment-653704256
move to #18642
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yzhliu merged pull request #18642:
URL: https://github.com/apache/incubator-mxnet/pull/18642
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aaronmarkham pushed a commit to branch asf-site
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new 06b830f Bump the
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ys2843 commented on pull request #18658:
URL: https://github.com/apache/incubator-mxnet/pull/18658#issuecomment-653696502
@mxnet-label-bot add [Website]
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ys2843 commented on pull request #18658:
URL: https://github.com/apache/incubator-mxnet/pull/18658#issuecomment-653696456
@mxnet-bot run ci [unix-cpu]
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mxnet-bot commented on pull request #18658:
URL: https://github.com/apache/incubator-mxnet/pull/18658#issuecomment-653696467
Jenkins CI successfully triggered : [unix-cpu]
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mxnet-bot commented on pull request #18405:
URL: https://github.com/apache/incubator-mxnet/pull/18405#issuecomment-653695233
Jenkins CI successfully triggered : [centos-gpu, unix-cpu]
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Kh4L commented on pull request #18405:
URL: https://github.com/apache/incubator-mxnet/pull/18405#issuecomment-653695221
@mxnet-bot run ci [centos-gpu, unix-cpu]
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Kh4L commented on pull request #18405:
URL: https://github.com/apache/incubator-mxnet/pull/18405#issuecomment-653695115
@mxnet-bot run ci [centos-cpu]
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mxnet-bot commented on pull request #18405:
URL: https://github.com/apache/incubator-mxnet/pull/18405#issuecomment-653695129
Jenkins CI successfully triggered : [centos-cpu]
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szha commented on issue #15925:
URL:
https://github.com/apache/incubator-mxnet/issues/15925#issuecomment-653689728
http://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/mxnet-validation%2Fcentos-gpu/detail/PR-18562/8/pipeline
szha commented on pull request #18368:
URL: https://github.com/apache/incubator-mxnet/pull/18368#issuecomment-653678603
@TaoLv @PatricZhao large tensor build for MKL builds seems to be failing.
See the CI checks.
This is an
ChaiBapchya commented on pull request #18649:
URL: https://github.com/apache/incubator-mxnet/pull/18649#issuecomment-653667497
Windows CI issues in master branch in late March were fixed by PRs :
1. https://github.com/apache/incubator-mxnet/pull/17962
- Upgrade VS from 2015 to 2019
szha commented on pull request #18649:
URL: https://github.com/apache/incubator-mxnet/pull/18649#issuecomment-653663802
Yes, we still need the change. It sounds like we may have missed some
windows CI changes to backport. cc @ChaiBapchya to help clarify issues with
windows CI
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MoritzMaxeiner commented on issue #14653:
URL:
https://github.com/apache/incubator-mxnet/issues/14653#issuecomment-653550103
> Hi I am interested to have LayerNorm support in ONNX for Pytorch to ONNX
workflow.
This issue is not to introduce a LayerNorm operator to ONNX. This issue
garnieje removed a comment on issue #14653:
URL:
https://github.com/apache/incubator-mxnet/issues/14653#issuecomment-653531289
I would be very interested as well.
Thank you in advance.
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garnieje commented on issue #14653:
URL:
https://github.com/apache/incubator-mxnet/issues/14653#issuecomment-653531289
I would be very interested as well.
Thank you in advance.
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tranvanhoa533 opened a new issue #18659:
URL: https://github.com/apache/incubator-mxnet/issues/18659
Hello. I am trying to implement accumulate gradient via simple mlp on mnist
dataset.
### Problem
My issue is that the model is not learn with _grad_req = 'add', the score is
not
nicklhy commented on issue #13054:
URL:
https://github.com/apache/incubator-mxnet/issues/13054#issuecomment-653436797
Any updates here ? Got the same problem.
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ciyongch commented on pull request #18649:
URL: https://github.com/apache/incubator-mxnet/pull/18649#issuecomment-653418261
Thanks for your information @wkcn , according to @BenjaminCHEN2016 the
failure only happened in MXNet windows CI pipeline but not his local
environment. There's a
wkcn commented on pull request #18649:
URL: https://github.com/apache/incubator-mxnet/pull/18649#issuecomment-653411128
Hi @ciyongch , the issue is related to the version of compiler.
I only build MXNet on gcc6, gcc7 and gcc10, and gcc10 takes more than 11GB
memory.
If using
BenjaminCHEN2016 commented on pull request #18649:
URL: https://github.com/apache/incubator-mxnet/pull/18649#issuecomment-653393406
@leezu Is the CI different between master and v1.7.x branch? It seems that
windows CI on v1.7.x is an older version?
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hzfan pushed a change to branch master
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from c519e0e Mark test_get_symbol as garbage_expected (#18595)
add d1b0a09 [numpy] FFI flip, rollaxis,
hzfan commented on pull request #18614:
URL: https://github.com/apache/incubator-mxnet/pull/18614#issuecomment-653391156
Thanks @Yiyan66
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hzfan pushed a change to branch master
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from c519e0e Mark test_get_symbol as garbage_expected (#18595)
add d1b0a09 [numpy] FFI flip, rollaxis,
hzfan merged pull request #18614:
URL: https://github.com/apache/incubator-mxnet/pull/18614
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cosmincatalin commented on issue #18655:
URL:
https://github.com/apache/incubator-mxnet/issues/18655#issuecomment-653389886
I would like to contribute if anyone can give me a few pointers of what is
needed to have this happen.
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ciyongch commented on pull request #17645:
URL: https://github.com/apache/incubator-mxnet/pull/17645#issuecomment-653370729
Hi @sxjscience , sorry for overlooking your message. I don't see there's a
strong requirement for this and likely not to include this patch in v1.7.
ciyongch commented on pull request #18649:
URL: https://github.com/apache/incubator-mxnet/pull/18649#issuecomment-653369808
Hi @BenjaminCHEN2016 , it looks more like a compilation error which probably
introduced by the current complex expressions or something like that which ran
out of
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