piiswrong closed pull request #7466: Update Jenkinsfile
URL: https://github.com/apache/incubator-mxnet/pull/7466
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leoxiaobin commented on issue #7455: Distributed training is slow
URL:
https://github.com/apache/incubator-mxnet/issues/7455#issuecomment-322365618
@szha , I have tried dist_sync_device, and I got almost the same result.
For dist_async, it using the async SGD, i don't think it can be
wanderingpj commented on issue #235: train.rec test.rec for cifar100
URL: https://github.com/apache/incubator-mxnet/issues/235#issuecomment-322364574
Do you know what networks are suitable for cifar100 to get to a high testing
accuracy?@ranti-iitg @antinucleon
szha commented on issue #7455: Distributed training is slow
URL:
https://github.com/apache/incubator-mxnet/issues/7455#issuecomment-322351343
How does it look for `dist_sync_device`? Or even `dist_async`?
This is an
piiswrong commented on a change in pull request #7442: contrib ctc interface
changes, cudnn7 CTC, and gluon CTC
URL: https://github.com/apache/incubator-mxnet/pull/7442#discussion_r133095751
##
File path: src/operator/contrib/ctc_loss-inl.h
##
@@ -128,40 +133,104 @@
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jxie pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git
The following commit(s) were added to refs/heads/master by this push:
new b51515f Fix apache link (#7468)
b51515f
piiswrong closed pull request #7468: Fix apache link
URL: https://github.com/apache/incubator-mxnet/pull/7468
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jxie pushed a commit to branch master
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new 507e830 Fix toc (#7465)
507e830 is
piiswrong closed pull request #7465: Fix toc
URL: https://github.com/apache/incubator-mxnet/pull/7465
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kevinthesun opened a new pull request #7468: Fix apache link
URL: https://github.com/apache/incubator-mxnet/pull/7468
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lxn2 pushed a commit to branch v0.11.0
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git
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new 5a8b381 Change RC version in NEWS
kevinthesun opened a new pull request #8: FixLink
URL: https://github.com/apache/incubator-mxnet-site/pull/8
Modify mxnet.io to apache
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lxn2 closed pull request #7467: Change RC version in NEWS
URL: https://github.com/apache/incubator-mxnet/pull/7467
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srochel opened a new pull request #7466: Update Jenkinsfile
URL: https://github.com/apache/incubator-mxnet/pull/7466
added make clean before make docs
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kevinthesun opened a new pull request #7465: Fix toc
URL: https://github.com/apache/incubator-mxnet/pull/7465
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kevinthesun closed pull request #7465: Fix toc
URL: https://github.com/apache/incubator-mxnet/pull/7465
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kevinthesun opened a new pull request #7465: Fix toc
URL: https://github.com/apache/incubator-mxnet/pull/7465
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lxn2 pushed a commit to branch v0.11.0
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git
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new 8e2146a New code signing key & README
lxn2 closed pull request #7464: New code signing key & README file changes
URL: https://github.com/apache/incubator-mxnet/pull/7464
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lxn2 opened a new pull request #7464: New code signing key & README file changes
URL: https://github.com/apache/incubator-mxnet/pull/7464
Cherry-picking from nswamy and pracheer's changes.
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lxn2 pushed a commit to branch master
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new 1470bf6 add Naveen's Code Signing Key
lxn2 closed pull request #7460: add nswamy@ code signing key
URL: https://github.com/apache/incubator-mxnet/pull/7460
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szha commented on issue #7463: [Gluon] Resnet152_v1 batch_size 32 doesn't work
quite well
URL:
https://github.com/apache/incubator-mxnet/issues/7463#issuecomment-322316683
My understanding is that this is due to memory consumption being too large.
#7433 may help with the memory
szha commented on issue #7462: [gluon] nomenclature for hybrid computation
URL:
https://github.com/apache/incubator-mxnet/issues/7462#issuecomment-322316089
@piiswrong
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Roshrini opened a new issue #7463: [Gluon] Resnet152 batch_size 32
URL: https://github.com/apache/incubator-mxnet/issues/7463
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nswamy closed pull request #7459: Updating CoreML readme file
URL: https://github.com/apache/incubator-mxnet/pull/7459
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thirdwing opened a new pull request #7461: [R] update tutorial link. close #6536
URL: https://github.com/apache/incubator-mxnet/pull/7461
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lxn2 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 c6c9721 Fix TOC (#7)
c6c9721
szha commented on issue #7445: Using cuDNN for CTC Loss
URL:
https://github.com/apache/incubator-mxnet/issues/7445#issuecomment-322313189
Good catch. Let me reflect this in the PR as well.
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sbodenstein commented on issue #7445: Using cuDNN for CTC Loss
URL:
https://github.com/apache/incubator-mxnet/issues/7445#issuecomment-322311423
Ah, that is annoying! One other limitation I noticed:
`CUDNN_STATUS_BAD_PARAM` is also thrown when
```
The labelLengths is greater than
szha commented on issue #7445: Using cuDNN for CTC Loss
URL:
https://github.com/apache/incubator-mxnet/issues/7445#issuecomment-322308517
@sbodenstein I agree. There is only one catch. It seems that the current
WarpCTC supports variable-length inputs whereas cudnn7 only has the intention
Author: nswamy
Date: Mon Aug 14 20:59:11 2017
New Revision: 21144
Log:
Add nsw...@apache.org code signing key
Modified:
dev/incubator/mxnet/KEYS
Modified: dev/incubator/mxnet/KEYS
==
--- dev/incubator/mxnet/KEYS
pracheer opened a new pull request #7459: Updating CoreML readme file
URL: https://github.com/apache/incubator-mxnet/pull/7459
* Updated the structure, fixed the grammar/typos.
* Calling out issues with InceptionV3 model.
* Removed references to "label-names" parameter (but keeping
sbodenstein commented on issue #7445: Using cuDNN for CTC Loss
URL:
https://github.com/apache/incubator-mxnet/issues/7445#issuecomment-322305397
@szha: do you agree that we should remove the WarpCTC CUDA implementation?
piiswrong commented on issue #7455: Distributed training is slow
URL:
https://github.com/apache/incubator-mxnet/issues/7455#issuecomment-322300126
Your network seems too small. Is it MNIST? It doesn't make sense to train
MNIST on multiple machines
kevinthesun opened a new pull request #7: Fix TOC
URL: https://github.com/apache/incubator-mxnet-site/pull/7
Fix table of contents.
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ptrendx opened a new pull request #7458: Return to the upstream CUB
URL: https://github.com/apache/incubator-mxnet/pull/7458
Upstream CUB was cleaned to reduce the size of the history and uses 20 MB
now.
This is an
ZiyueHuang commented on a change in pull request #7449: Fix a bug in
SequentialRNNCell.reset()
URL: https://github.com/apache/incubator-mxnet/pull/7449#discussion_r133008855
##
File path: python/mxnet/rnn/rnn_cell.py
##
@@ -788,6 +788,12 @@ def unpack_weights(self, args):
szha commented on a change in pull request #7449: Fix a bug in
SequentialRNNCell.reset()
URL: https://github.com/apache/incubator-mxnet/pull/7449#discussion_r133002287
##
File path: python/mxnet/rnn/rnn_cell.py
##
@@ -788,6 +788,12 @@ def unpack_weights(self, args):
szha commented on a change in pull request #7449: Fix a bug in
SequentialRNNCell.reset()
URL: https://github.com/apache/incubator-mxnet/pull/7449#discussion_r133002287
##
File path: python/mxnet/rnn/rnn_cell.py
##
@@ -788,6 +788,12 @@ def unpack_weights(self, args):
dabraude opened a new issue #7457: Minimal C example fails to register operators
URL: https://github.com/apache/incubator-mxnet/issues/7457
This is the most minimal example of what should be used to load a symbol
with the c_api and it doesn't work. Unless I'm missing something completely
saswatac opened a new pull request #7456: make MXDataIter work without indices
URL: https://github.com/apache/incubator-mxnet/pull/7456
indices are optional, custom cpp iterators providing data batches
without indices should work while using MXDataIter.
##Testing
python
leoxiaobin opened a new issue #7455: Distributed training is slow
URL: https://github.com/apache/incubator-mxnet/issues/7455
## Environment info
Operating System: Ubuntu 16.4
Compiler: gcc 5.4
Package used (Python/R/Scala/Julia): Python
MXNet version: Last code
ZiyueHuang opened a new pull request #7449: Fix a bug in
SequentialRNNCell.reset()
URL: https://github.com/apache/incubator-mxnet/pull/7449
`SequentialRNNCell.reset()` should invoke reset in all layer cells. This is
an issue in
ZiyueHuang closed pull request #7449: Fix a bug in SequentialRNNCell.reset()
URL: https://github.com/apache/incubator-mxnet/pull/7449
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wanderingpj opened a new issue #7454: Question about networks for cifar100.
URL: https://github.com/apache/incubator-mxnet/issues/7454
What networks are suitable for cifar100 with relatively high testing
accuracy?
This
ZiyueHuang commented on issue #7449: Fix a bug in SequentialRNNCell.reset()
URL: https://github.com/apache/incubator-mxnet/pull/7449#issuecomment-322136929
ping @piiswrong @sxjscience
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ZhaoxiaZhang commented on issue #7406: inconsistent accuracy: ImageRecordIter
vs ImageIter
URL:
https://github.com/apache/incubator-mxnet/issues/7406#issuecomment-322140620
Thanks for that! let me try and will update the results later.
chinakook commented on issue #7361: training speed of batch-norm is less than
batch-norm-v1
URL:
https://github.com/apache/incubator-mxnet/issues/7361#issuecomment-322138483
Is the cudnn_off = False ?
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ZiyueHuang commented on issue #7449: Fix a bug in SequentialRNNCell.reset()
URL: https://github.com/apache/incubator-mxnet/pull/7449#issuecomment-322136929
ping @piiswrong @sxjscience
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aktiger commented on issue #3239: I found my mxnet starts very slow, takes
about 5 minutes before the gpus begin to run
URL:
https://github.com/apache/incubator-mxnet/issues/3239#issuecomment-322136683
@sxjscience thanks, this solved my problem. The first time is still slow,
but after
aktiger commented on issue #3239: I found my mxnet starts very slow, takes
about 5 minutes before the gpus begin to run
URL:
https://github.com/apache/incubator-mxnet/issues/3239#issuecomment-322136683
@sxjscience thanks, this solved my problem.
BenLag2906 opened a new issue #7453: Pb in import of mxnet
URL: https://github.com/apache/incubator-mxnet/issues/7453
I have a Pb in import of mxnet in python
## Environment info
Operating System: windows 10
Compiler:
visual 2015 64
Package used
formath opened a new pull request #7452: rm not use variables
URL: https://github.com/apache/incubator-mxnet/pull/7452
@piiswrong
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houkai opened a new issue #7450: reporting bugs: pbegin_ <= pend_. Two thread
conflicts.
URL: https://github.com/apache/incubator-mxnet/issues/7450
## Environment info
Operating System: CentOS release 6.9 (Final)
Compiler: gcc version 4.8.2 (GCC)
Package used
ZiyueHuang opened a new pull request #7449: Fix a bug in
SequentialRNNCell.reset()
URL: https://github.com/apache/incubator-mxnet/pull/7449
SequentialRNNCell.reset() should invoke reset in all layer cells. This is an
issue in
piiswrong commented on issue #7319: [RoadMap] Legacy issue resolution before
1.0 release
URL:
https://github.com/apache/incubator-mxnet/issues/7319#issuecomment-322110140
@ptrendx @madjam @bhavinthaker The removed tutorials need to be brought back
ASAP!
ZhaoxiaZhang commented on issue #7406: inconsistent accuracy: ImageRecordIter
vs ImageIter
URL:
https://github.com/apache/incubator-mxnet/issues/7406#issuecomment-322109650
@melody-rain Thanks for your comments. I will try the imageiter.
BTW, any insights why ImageRecordIter does,'t
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