[jira] [Commented] (MXNET-58) Add LayerNorm in MXNet

2018-03-07 Thread ASF GitHub Bot (JIRA)

[ 
https://issues.apache.org/jira/browse/MXNET-58?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16390848#comment-16390848
 ] 

ASF GitHub Bot commented on MXNET-58:
-

fhieber commented on issue #10029: [MXNET-58]Layer Normalization in C++
URL: https://github.com/apache/incubator-mxnet/pull/10029#issuecomment-371400507
 
 
   @sxjscience fantastic, thank you! We will definitely try this as soon as its 
available!


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> Add LayerNorm in MXNet
> --
>
> Key: MXNET-58
> URL: https://issues.apache.org/jira/browse/MXNET-58
> Project: Apache MXNet
>  Issue Type: New Feature
>Reporter: Xingjian Shi
>Priority: Major
>
> # Directly implement layer normalization in C++. The speed and memory cost 
> are both better than the way of stacking the broadcast/reduce OPs. Solves 
> [#9950|https://github.com/apache/incubator-mxnet/issues/9950]
>  # Add LayerNorm in Gluon
>  # Fix the doc of InstanceNorm. In InstanceNorm, the real axis to normalize 
> the input tensor is all axes excluding the 0th axis and the given axis.
>  # Fix the doc of BatchNorm, the inverse std instead of the var is set as the 
> output. Should fix 
> [#9216|https://github.com/apache/incubator-mxnet/issues/9216]



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[jira] [Commented] (MXNET-31) Support variable sequence length in gluon.RecurrentCell

2018-03-07 Thread ASF GitHub Bot (JIRA)

[ 
https://issues.apache.org/jira/browse/MXNET-31?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16390775#comment-16390775
 ] 

ASF GitHub Bot commented on MXNET-31:
-

sxjscience commented on issue #9934: [MXNET-31] Support variable sequence 
length in gluon.RecurrentCell 
URL: https://github.com/apache/incubator-mxnet/pull/9934#issuecomment-371383734
 
 
   @szha @piiswrong I've added the test of VariationalDropoutCell.


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> Support variable sequence length in gluon.RecurrentCell
> ---
>
> Key: MXNET-31
> URL: https://issues.apache.org/jira/browse/MXNET-31
> Project: Apache MXNet
>  Issue Type: New Feature
>Reporter: Xingjian Shi
>Priority: Major
>
> When the input sequences have different lengths, the common approach is to 
> pad them to the same length and feed the padded data into the recurrent 
> neural network. To deal with this scenario, this PR adds a new 
> {{valid_length}} option in {{unroll}}. {{valid_length}} refers to the real 
> length of the sequences before padding. When the {{valid_length}} is given, 
> the last valid state will be returned and the padded portion in the output 
> will be masked to be zero. This feature is essential for implementing a NMT 
> model.



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[jira] [Commented] (MXNET-58) Add LayerNorm in MXNet

2018-03-07 Thread ASF GitHub Bot (JIRA)

[ 
https://issues.apache.org/jira/browse/MXNET-58?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16390724#comment-16390724
 ] 

ASF GitHub Bot commented on MXNET-58:
-

sxjscience commented on issue #10029: [MXNET-58]Layer Normalization in C++
URL: https://github.com/apache/incubator-mxnet/pull/10029#issuecomment-371374211
 
 
   Here's the new doc of InstanceNorm 
http://mxnet-ci-doc.s3-accelerate.dualstack.amazonaws.com/PR-10029/4/api/python/gluon/nn.html#mxnet.gluon.nn.InstanceNorm
 @zhanghang1989 


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> Add LayerNorm in MXNet
> --
>
> Key: MXNET-58
> URL: https://issues.apache.org/jira/browse/MXNET-58
> Project: Apache MXNet
>  Issue Type: New Feature
>Reporter: Xingjian Shi
>Priority: Major
>
> # Directly implement layer normalization in C++. The speed and memory cost 
> are both better than the way of stacking the broadcast/reduce OPs. Solves 
> [#9950|https://github.com/apache/incubator-mxnet/issues/9950]
>  # Add LayerNorm in Gluon
>  # Fix the doc of InstanceNorm. In InstanceNorm, the real axis to normalize 
> the input tensor is all axes excluding the 0th axis and the given axis.
>  # Fix the doc of BatchNorm, the inverse std instead of the var is set as the 
> output. Should fix 
> [#9216|https://github.com/apache/incubator-mxnet/issues/9216]



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[jira] [Commented] (MXNET-58) Add LayerNorm in MXNet

2018-03-07 Thread ASF GitHub Bot (JIRA)

[ 
https://issues.apache.org/jira/browse/MXNET-58?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16390723#comment-16390723
 ] 

ASF GitHub Bot commented on MXNET-58:
-

sxjscience commented on issue #10029: [MXNET-58]Layer Normalization in C++
URL: https://github.com/apache/incubator-mxnet/pull/10029#issuecomment-371374211
 
 
   Here's the new doc of InstanceNorm 
http://mxnet-ci-doc.s3-accelerate.dualstack.amazonaws.com/PR-10029/4/api/python/gluon/nn.html#mxnet.gluon.nn.LayerNorm
 @zhanghang1989 


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> Add LayerNorm in MXNet
> --
>
> Key: MXNET-58
> URL: https://issues.apache.org/jira/browse/MXNET-58
> Project: Apache MXNet
>  Issue Type: New Feature
>Reporter: Xingjian Shi
>Priority: Major
>
> # Directly implement layer normalization in C++. The speed and memory cost 
> are both better than the way of stacking the broadcast/reduce OPs. Solves 
> [#9950|https://github.com/apache/incubator-mxnet/issues/9950]
>  # Add LayerNorm in Gluon
>  # Fix the doc of InstanceNorm. In InstanceNorm, the real axis to normalize 
> the input tensor is all axes excluding the 0th axis and the given axis.
>  # Fix the doc of BatchNorm, the inverse std instead of the var is set as the 
> output. Should fix 
> [#9216|https://github.com/apache/incubator-mxnet/issues/9216]



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[jira] [Created] (MXNET-59) Add histogram callback to contrib.tensorboard

2018-03-07 Thread YujiOshima (JIRA)
YujiOshima created MXNET-59:
---

 Summary: Add histogram callback to contrib.tensorboard
 Key: MXNET-59
 URL: https://issues.apache.org/jira/browse/MXNET-59
 Project: Apache MXNet
  Issue Type: New Feature
Reporter: YujiOshima


# Add histograms and distributions for each node in TnsorBoard.

 

 



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[jira] [Commented] (MXNET-37) Improve documentation for distributed training

2018-03-07 Thread ASF GitHub Bot (JIRA)

[ 
https://issues.apache.org/jira/browse/MXNET-37?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16390598#comment-16390598
 ] 

ASF GitHub Bot commented on MXNET-37:
-

TaoLv commented on issue #9152: [MXNET-37] tutorial for distributed training
URL: https://github.com/apache/incubator-mxnet/pull/9152#issuecomment-371353840
 
 
   @rahul003 Thanks for your reply. I will try that. Seems some links in this 
tutorial are broker:
   [Training with multiple GPUs using model 
parallelism](https://mxnet.incubator.apache.org/versions/master/how_to/model_parallel_lstm.html)
   [Using data from S3 for 
training](https://mxnet.incubator.apache.org/versions/master/how_to/s3_integration.html)
   
   Another minor suggestion, I think it would be better if you can add some 
pictures to show the architecture or scalability of parameter sever.


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> Improve documentation for distributed training
> --
>
> Key: MXNET-37
> URL: https://issues.apache.org/jira/browse/MXNET-37
> Project: Apache MXNet
>  Issue Type: New Feature
>Reporter: Rahul Huilgol
>Assignee: Rahul Huilgol
>Priority: Major
>
> Write a tutorial



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[jira] [Updated] (MXNET-46) remove set CMAKE_GENERATOR_TOOLSET

2018-03-07 Thread Hu Shiwen (JIRA)

 [ 
https://issues.apache.org/jira/browse/MXNET-46?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Hu Shiwen updated MXNET-46:
---
Status: To Do  (was: In Progress)

> remove set CMAKE_GENERATOR_TOOLSET
> --
>
> Key: MXNET-46
> URL: https://issues.apache.org/jira/browse/MXNET-46
> Project: Apache MXNet
>  Issue Type: Improvement
>Reporter: Hu Shiwen
>Assignee: Hu Shiwen
>Priority: Minor
>
>  
> The setting is already superfluous.



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[jira] [Updated] (MXNET-46) remove set CMAKE_GENERATOR_TOOLSET

2018-03-07 Thread Hu Shiwen (JIRA)

 [ 
https://issues.apache.org/jira/browse/MXNET-46?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Hu Shiwen updated MXNET-46:
---
Status: In Progress  (was: To Do)

> remove set CMAKE_GENERATOR_TOOLSET
> --
>
> Key: MXNET-46
> URL: https://issues.apache.org/jira/browse/MXNET-46
> Project: Apache MXNet
>  Issue Type: Improvement
>Reporter: Hu Shiwen
>Assignee: Hu Shiwen
>Priority: Minor
>
>  
> The setting is already superfluous.



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[jira] [Created] (MXNET-58) Add LayerNorm in MXNet

2018-03-07 Thread Xingjian Shi (JIRA)
Xingjian Shi created MXNET-58:
-

 Summary: Add LayerNorm in MXNet
 Key: MXNET-58
 URL: https://issues.apache.org/jira/browse/MXNET-58
 Project: Apache MXNet
  Issue Type: New Feature
Reporter: Xingjian Shi


# Directly implement layer normalization in C++. The speed and memory cost are 
both better than the way of stacking the broadcast/reduce OPs. Solves 
[#9950|https://github.com/apache/incubator-mxnet/issues/9950]
 # Add LayerNorm in Gluon
 # Fix the doc of InstanceNorm. In InstanceNorm, the real axis to normalize the 
input tensor is all axes excluding the 0th axis and the given axis.
 # Fix the doc of BatchNorm, the inverse std instead of the var is set as the 
output. Should fix [#9216|https://github.com/apache/incubator-mxnet/issues/9216]



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[jira] [Commented] (MXNET-42) Make CI failures locally reproducible

2018-03-07 Thread ASF GitHub Bot (JIRA)

[ 
https://issues.apache.org/jira/browse/MXNET-42?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16390408#comment-16390408
 ] 

ASF GitHub Bot commented on MXNET-42:
-

marcoabreu commented on issue #9995: CI docker revamp; Add Jetson, Raspberry 
and CentOS 7 build [MXNET-42][MXNET-43][MXNET-44][MXNET-57]
URL: https://github.com/apache/incubator-mxnet/pull/9995#issuecomment-371318315
 
 
   @szha @sergeykolychev @tqchen @cjolivier01 @eric-haibin-lin can you please 
review?


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> Make CI failures locally reproducible
> -
>
> Key: MXNET-42
> URL: https://issues.apache.org/jira/browse/MXNET-42
> Project: Apache MXNet
>  Issue Type: Improvement
>Reporter: Marco de Abreu
>Assignee: Marco de Abreu
>Priority: Major
>
> At the moment, it's hard to reproduce CI failures. Ideally, every failure 
> could be reproduced by executing a single command.



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[jira] [Created] (MXNET-57) Build Android as part of CI

2018-03-07 Thread Marco de Abreu (JIRA)
Marco de Abreu created MXNET-57:
---

 Summary: Build Android as part of CI
 Key: MXNET-57
 URL: https://issues.apache.org/jira/browse/MXNET-57
 Project: Apache MXNet
  Issue Type: Improvement
Reporter: Marco de Abreu


Build Android as part of CI



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[jira] [Assigned] (MXNET-57) Build Android as part of CI

2018-03-07 Thread Marco de Abreu (JIRA)

 [ 
https://issues.apache.org/jira/browse/MXNET-57?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Marco de Abreu reassigned MXNET-57:
---

Assignee: Marco de Abreu

> Build Android as part of CI
> ---
>
> Key: MXNET-57
> URL: https://issues.apache.org/jira/browse/MXNET-57
> Project: Apache MXNet
>  Issue Type: Improvement
>  Components: CI Build 
>Reporter: Marco de Abreu
>Assignee: Marco de Abreu
>Priority: Major
>
> Build Android as part of CI



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[jira] [Updated] (MXNET-57) Build Android as part of CI

2018-03-07 Thread Marco de Abreu (JIRA)

 [ 
https://issues.apache.org/jira/browse/MXNET-57?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Marco de Abreu updated MXNET-57:

Component/s: CI Build 

> Build Android as part of CI
> ---
>
> Key: MXNET-57
> URL: https://issues.apache.org/jira/browse/MXNET-57
> Project: Apache MXNet
>  Issue Type: Improvement
>  Components: CI Build 
>Reporter: Marco de Abreu
>Assignee: Marco de Abreu
>Priority: Major
>
> Build Android as part of CI



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[jira] [Assigned] (MXNET-56) Unit Tests for ImageClassifiers

2018-03-07 Thread Naveen Swamy (JIRA)

 [ 
https://issues.apache.org/jira/browse/MXNET-56?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Naveen Swamy reassigned MXNET-56:
-

Assignee: Roshani Nagmote

> Unit Tests for ImageClassifiers
> ---
>
> Key: MXNET-56
> URL: https://issues.apache.org/jira/browse/MXNET-56
> Project: Apache MXNet
>  Issue Type: Sub-task
>Reporter: Naveen Swamy
>Assignee: Roshani Nagmote
>Priority: Major
>




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[jira] [Assigned] (MXNET-53) Image Classifier using Classifer

2018-03-07 Thread Naveen Swamy (JIRA)

 [ 
https://issues.apache.org/jira/browse/MXNET-53?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Naveen Swamy reassigned MXNET-53:
-

Assignee: Roshani Nagmote

> Image Classifier using Classifer
> 
>
> Key: MXNET-53
> URL: https://issues.apache.org/jira/browse/MXNET-53
> Project: Apache MXNet
>  Issue Type: Sub-task
>Reporter: Naveen Swamy
>Assignee: Roshani Nagmote
>Priority: Major
>




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[jira] [Assigned] (MXNET-52) Classifier APIs

2018-03-07 Thread Naveen Swamy (JIRA)

 [ 
https://issues.apache.org/jira/browse/MXNET-52?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Naveen Swamy reassigned MXNET-52:
-

Assignee: Naveen Swamy

> Classifier APIs
> ---
>
> Key: MXNET-52
> URL: https://issues.apache.org/jira/browse/MXNET-52
> Project: Apache MXNet
>  Issue Type: Sub-task
>Reporter: Naveen Swamy
>Assignee: Naveen Swamy
>Priority: Major
>




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[jira] [Assigned] (MXNET-54) UnitTests for Predictor

2018-03-07 Thread Naveen Swamy (JIRA)

 [ 
https://issues.apache.org/jira/browse/MXNET-54?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Naveen Swamy reassigned MXNET-54:
-

Assignee: Naveen Swamy

> UnitTests for Predictor
> ---
>
> Key: MXNET-54
> URL: https://issues.apache.org/jira/browse/MXNET-54
> Project: Apache MXNet
>  Issue Type: Sub-task
>Reporter: Naveen Swamy
>Assignee: Naveen Swamy
>Priority: Major
>




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[jira] [Assigned] (MXNET-51) Predictor API

2018-03-07 Thread Naveen Swamy (JIRA)

 [ 
https://issues.apache.org/jira/browse/MXNET-51?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Naveen Swamy reassigned MXNET-51:
-

Assignee: Naveen Swamy

> Predictor API
> -
>
> Key: MXNET-51
> URL: https://issues.apache.org/jira/browse/MXNET-51
> Project: Apache MXNet
>  Issue Type: Sub-task
>Reporter: Naveen Swamy
>Assignee: Naveen Swamy
>Priority: Major
>
> Implement Predictor APIs



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[jira] [Assigned] (MXNET-55) Unit Tests for Classifier

2018-03-07 Thread Naveen Swamy (JIRA)

 [ 
https://issues.apache.org/jira/browse/MXNET-55?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Naveen Swamy reassigned MXNET-55:
-

Assignee: Naveen Swamy

> Unit Tests for Classifier
> -
>
> Key: MXNET-55
> URL: https://issues.apache.org/jira/browse/MXNET-55
> Project: Apache MXNet
>  Issue Type: Sub-task
>Reporter: Naveen Swamy
>Assignee: Naveen Swamy
>Priority: Major
>




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[jira] [Created] (MXNET-56) Unit Tests for ImageClassifiers

2018-03-07 Thread Naveen Swamy (JIRA)
Naveen Swamy created MXNET-56:
-

 Summary: Unit Tests for ImageClassifiers
 Key: MXNET-56
 URL: https://issues.apache.org/jira/browse/MXNET-56
 Project: Apache MXNet
  Issue Type: Sub-task
Reporter: Naveen Swamy






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[jira] [Created] (MXNET-54) UnitTests for Predictor

2018-03-07 Thread Naveen Swamy (JIRA)
Naveen Swamy created MXNET-54:
-

 Summary: UnitTests for Predictor
 Key: MXNET-54
 URL: https://issues.apache.org/jira/browse/MXNET-54
 Project: Apache MXNet
  Issue Type: Sub-task
Reporter: Naveen Swamy






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[jira] [Created] (MXNET-55) Unit Tests for Classifier

2018-03-07 Thread Naveen Swamy (JIRA)
Naveen Swamy created MXNET-55:
-

 Summary: Unit Tests for Classifier
 Key: MXNET-55
 URL: https://issues.apache.org/jira/browse/MXNET-55
 Project: Apache MXNet
  Issue Type: Sub-task
Reporter: Naveen Swamy






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[jira] [Created] (MXNET-53) Image Classifier using Classifer

2018-03-07 Thread Naveen Swamy (JIRA)
Naveen Swamy created MXNET-53:
-

 Summary: Image Classifier using Classifer
 Key: MXNET-53
 URL: https://issues.apache.org/jira/browse/MXNET-53
 Project: Apache MXNet
  Issue Type: Sub-task
Reporter: Naveen Swamy






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[jira] [Created] (MXNET-51) Predictor API

2018-03-07 Thread Naveen Swamy (JIRA)
Naveen Swamy created MXNET-51:
-

 Summary: Predictor API
 Key: MXNET-51
 URL: https://issues.apache.org/jira/browse/MXNET-51
 Project: Apache MXNet
  Issue Type: Sub-task
Reporter: Naveen Swamy


Implement Predictor APIs



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[jira] [Created] (MXNET-52) Classifier APIs

2018-03-07 Thread Naveen Swamy (JIRA)
Naveen Swamy created MXNET-52:
-

 Summary: Classifier APIs
 Key: MXNET-52
 URL: https://issues.apache.org/jira/browse/MXNET-52
 Project: Apache MXNet
  Issue Type: Sub-task
Reporter: Naveen Swamy






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[jira] [Updated] (MXNET-50) New MXNet Scala Inference APIs

2018-03-07 Thread Naveen Swamy (JIRA)

 [ 
https://issues.apache.org/jira/browse/MXNET-50?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Naveen Swamy updated MXNET-50:
--
Component/s: Scala API

>  New MXNet Scala Inference APIs 
> 
>
> Key: MXNET-50
> URL: https://issues.apache.org/jira/browse/MXNET-50
> Project: Apache MXNet
>  Issue Type: Bug
>  Components: Scala API
>Reporter: Naveen Swamy
>Priority: Major
>




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[jira] [Created] (MXNET-50) New MXNet Scala Inference APIs

2018-03-07 Thread Naveen Swamy (JIRA)
Naveen Swamy created MXNET-50:
-

 Summary:  New MXNet Scala Inference APIs 
 Key: MXNET-50
 URL: https://issues.apache.org/jira/browse/MXNET-50
 Project: Apache MXNet
  Issue Type: Bug
Reporter: Naveen Swamy






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[jira] [Assigned] (MXNET-50) New MXNet Scala Inference APIs

2018-03-07 Thread Naveen Swamy (JIRA)

 [ 
https://issues.apache.org/jira/browse/MXNET-50?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Naveen Swamy reassigned MXNET-50:
-

Assignee: Naveen Swamy

>  New MXNet Scala Inference APIs 
> 
>
> Key: MXNET-50
> URL: https://issues.apache.org/jira/browse/MXNET-50
> Project: Apache MXNet
>  Issue Type: Bug
>  Components: Scala API
>Reporter: Naveen Swamy
>Assignee: Naveen Swamy
>Priority: Major
>




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[jira] [Updated] (MXNET-49) Scala Inference APIs

2018-03-07 Thread Naveen Swamy (JIRA)

 [ 
https://issues.apache.org/jira/browse/MXNET-49?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Naveen Swamy updated MXNET-49:
--
Epic Name: Scala Inference APIs

> Scala Inference APIs
> 
>
> Key: MXNET-49
> URL: https://issues.apache.org/jira/browse/MXNET-49
> Project: Apache MXNet
>  Issue Type: Epic
>  Components: Scala API
>Reporter: Naveen Swamy
>Assignee: Naveen Swamy
>Priority: Major
>
> https://cwiki.apache.org/confluence/display/MXNET/MXNetScalaInferenceAPI



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[jira] [Assigned] (MXNET-49) Scala Inference APIs

2018-03-07 Thread Naveen Swamy (JIRA)

 [ 
https://issues.apache.org/jira/browse/MXNET-49?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Naveen Swamy reassigned MXNET-49:
-

Assignee: Naveen Swamy

> Scala Inference APIs
> 
>
> Key: MXNET-49
> URL: https://issues.apache.org/jira/browse/MXNET-49
> Project: Apache MXNet
>  Issue Type: New Feature
>  Components: Scala API
>Reporter: Naveen Swamy
>Assignee: Naveen Swamy
>Priority: Major
>
> https://cwiki.apache.org/confluence/display/MXNET/MXNetScalaInferenceAPI



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[jira] [Updated] (MXNET-49) Scala Inference APIs

2018-03-07 Thread Naveen Swamy (JIRA)

 [ 
https://issues.apache.org/jira/browse/MXNET-49?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Naveen Swamy updated MXNET-49:
--
Issue Type: Epic  (was: New Feature)

> Scala Inference APIs
> 
>
> Key: MXNET-49
> URL: https://issues.apache.org/jira/browse/MXNET-49
> Project: Apache MXNet
>  Issue Type: Epic
>  Components: Scala API
>Reporter: Naveen Swamy
>Assignee: Naveen Swamy
>Priority: Major
>
> https://cwiki.apache.org/confluence/display/MXNET/MXNetScalaInferenceAPI



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[jira] [Updated] (MXNET-49) Scala Inference APIs

2018-03-07 Thread Naveen Swamy (JIRA)

 [ 
https://issues.apache.org/jira/browse/MXNET-49?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Naveen Swamy updated MXNET-49:
--
Component/s: Scala API

> Scala Inference APIs
> 
>
> Key: MXNET-49
> URL: https://issues.apache.org/jira/browse/MXNET-49
> Project: Apache MXNet
>  Issue Type: New Feature
>  Components: Scala API
>Reporter: Naveen Swamy
>Assignee: Naveen Swamy
>Priority: Major
>
> https://cwiki.apache.org/confluence/display/MXNET/MXNetScalaInferenceAPI



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[jira] [Created] (MXNET-49) Scala Inference APIs

2018-03-07 Thread Naveen Swamy (JIRA)
Naveen Swamy created MXNET-49:
-

 Summary: Scala Inference APIs
 Key: MXNET-49
 URL: https://issues.apache.org/jira/browse/MXNET-49
 Project: Apache MXNet
  Issue Type: New Feature
Reporter: Naveen Swamy


https://cwiki.apache.org/confluence/display/MXNET/MXNetScalaInferenceAPI



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[jira] [Assigned] (MXNET-48) update on setting up Scala with MXNet and the IntelliJ IDE

2018-03-07 Thread Aaron Markham (JIRA)

 [ 
https://issues.apache.org/jira/browse/MXNET-48?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Aaron Markham reassigned MXNET-48:
--

Assignee: Aaron Markham

> update on setting up Scala with MXNet and the IntelliJ IDE
> --
>
> Key: MXNET-48
> URL: https://issues.apache.org/jira/browse/MXNET-48
> Project: Apache MXNet
>  Issue Type: Improvement
>  Components: Scala API
>Reporter: Aaron Markham
>Assignee: Aaron Markham
>Priority: Major
>  Labels: documentation, pull-request-available
>
> https://github.com/apache/incubator-mxnet/pull/10013



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[jira] [Assigned] (MXNET-47) Documentation for build_version_doc scripts folder

2018-03-07 Thread Chris Olivier (JIRA)

 [ 
https://issues.apache.org/jira/browse/MXNET-47?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Chris Olivier reassigned MXNET-47:
--

Assignee: Aaron Markham

> Documentation for build_version_doc scripts folder
> --
>
> Key: MXNET-47
> URL: https://issues.apache.org/jira/browse/MXNET-47
> Project: Apache MXNet
>  Issue Type: Improvement
>  Components: CI Build 
>Reporter: Aaron Markham
>Assignee: Aaron Markham
>Priority: Major
>  Labels: documentation, pull-request-available
>
> https://github.com/apache/incubator-mxnet/pull/10010



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[jira] [Updated] (MXNET-47) Documentation for build_version_doc scripts folder

2018-03-07 Thread Aaron Markham (JIRA)

 [ 
https://issues.apache.org/jira/browse/MXNET-47?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Aaron Markham updated MXNET-47:
---
Labels: documentation pull-request-available  (was: documentation)

> Documentation for build_version_doc scripts folder
> --
>
> Key: MXNET-47
> URL: https://issues.apache.org/jira/browse/MXNET-47
> Project: Apache MXNet
>  Issue Type: Improvement
>  Components: CI Build 
>Reporter: Aaron Markham
>Priority: Major
>  Labels: documentation, pull-request-available
>
> https://github.com/apache/incubator-mxnet/pull/10010



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[jira] [Updated] (MXNET-48) update on setting up Scala with MXNet and the IntelliJ IDE

2018-03-07 Thread Aaron Markham (JIRA)

 [ 
https://issues.apache.org/jira/browse/MXNET-48?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Aaron Markham updated MXNET-48:
---
 Labels: documentation pull-request-available  (was: )
Component/s: Scala API

> update on setting up Scala with MXNet and the IntelliJ IDE
> --
>
> Key: MXNET-48
> URL: https://issues.apache.org/jira/browse/MXNET-48
> Project: Apache MXNet
>  Issue Type: Improvement
>  Components: Scala API
>Reporter: Aaron Markham
>Priority: Major
>  Labels: documentation, pull-request-available
>
> https://github.com/apache/incubator-mxnet/pull/10013



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[jira] [Created] (MXNET-48) update on setting up Scala with MXNet and the IntelliJ IDE

2018-03-07 Thread Aaron Markham (JIRA)
Aaron Markham created MXNET-48:
--

 Summary: update on setting up Scala with MXNet and the IntelliJ IDE
 Key: MXNET-48
 URL: https://issues.apache.org/jira/browse/MXNET-48
 Project: Apache MXNet
  Issue Type: Improvement
Reporter: Aaron Markham


https://github.com/apache/incubator-mxnet/pull/10013



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[jira] [Updated] (MXNET-47) Documentation for build_version_doc scripts folder

2018-03-07 Thread Aaron Markham (JIRA)

 [ 
https://issues.apache.org/jira/browse/MXNET-47?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Aaron Markham updated MXNET-47:
---
 Labels: documentation  (was: )
Component/s: CI Build 

> Documentation for build_version_doc scripts folder
> --
>
> Key: MXNET-47
> URL: https://issues.apache.org/jira/browse/MXNET-47
> Project: Apache MXNet
>  Issue Type: Improvement
>  Components: CI Build 
>Reporter: Aaron Markham
>Priority: Major
>  Labels: documentation
>
> https://github.com/apache/incubator-mxnet/pull/10010



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[jira] [Created] (MXNET-47) Documentation for build_version_doc scripts folder

2018-03-07 Thread Aaron Markham (JIRA)
Aaron Markham created MXNET-47:
--

 Summary: Documentation for build_version_doc scripts folder
 Key: MXNET-47
 URL: https://issues.apache.org/jira/browse/MXNET-47
 Project: Apache MXNet
  Issue Type: Improvement
Reporter: Aaron Markham


https://github.com/apache/incubator-mxnet/pull/10010



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[jira] [Assigned] (MXNET-37) Improve documentation for distributed training

2018-03-07 Thread Rahul Huilgol (JIRA)

 [ 
https://issues.apache.org/jira/browse/MXNET-37?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Rahul Huilgol reassigned MXNET-37:
--

Assignee: Rahul Huilgol

> Improve documentation for distributed training
> --
>
> Key: MXNET-37
> URL: https://issues.apache.org/jira/browse/MXNET-37
> Project: Apache MXNet
>  Issue Type: New Feature
>Reporter: Rahul Huilgol
>Assignee: Rahul Huilgol
>Priority: Major
>
> Write a tutorial



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[jira] [Assigned] (MXNET-36) Update ndarray binary ops to use kernel launch interface

2018-03-07 Thread Rahul Huilgol (JIRA)

 [ 
https://issues.apache.org/jira/browse/MXNET-36?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Rahul Huilgol reassigned MXNET-36:
--

Assignee: Rahul Huilgol

> Update ndarray binary ops to use kernel launch interface
> 
>
> Key: MXNET-36
> URL: https://issues.apache.org/jira/browse/MXNET-36
> Project: Apache MXNet
>  Issue Type: New Feature
>Reporter: Rahul Huilgol
>Assignee: Rahul Huilgol
>Priority: Major
>
> Replace older deprecated mshadow style binary operations with faster kernel 
> launch interface.



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[jira] [Assigned] (MXNET-33) mxnet mkl-dnn crashes for Max pooling with convention "full"

2018-03-07 Thread Chris Olivier (JIRA)

 [ 
https://issues.apache.org/jira/browse/MXNET-33?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Chris Olivier reassigned MXNET-33:
--

Assignee: Ashok Emani  (was: Chris Olivier)

> mxnet mkl-dnn crashes for Max pooling with convention "full" 
> -
>
> Key: MXNET-33
> URL: https://issues.apache.org/jira/browse/MXNET-33
> Project: Apache MXNet
>  Issue Type: Bug
>Reporter: Ashok Emani
>Assignee: Ashok Emani
>Priority: Minor
>
> A crash is seen when running SSD-VGG16 300 VOC , with mxnet mkldnn build, for 
> the following op.
>  
> "op": "Pooling",                            
> "attrs": {                     
>   "kernel": "(2, 2)",          
>   "pool_type": "max",          
>   "pooling_convention": "full",
>   "stride": "(2, 2)"           
> },    
>                       



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[jira] [Assigned] (MXNET-46) remove set CMAKE_GENERATOR_TOOLSET

2018-03-07 Thread Chris Olivier (JIRA)

 [ 
https://issues.apache.org/jira/browse/MXNET-46?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Chris Olivier reassigned MXNET-46:
--

Assignee: Hu Shiwen  (was: Chris Olivier)

> remove set CMAKE_GENERATOR_TOOLSET
> --
>
> Key: MXNET-46
> URL: https://issues.apache.org/jira/browse/MXNET-46
> Project: Apache MXNet
>  Issue Type: Improvement
>Reporter: Hu Shiwen
>Assignee: Hu Shiwen
>Priority: Minor
>
>  
> The setting is already superfluous.



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[jira] [Commented] (MXNET-33) mxnet mkl-dnn crashes for Max pooling with convention "full"

2018-03-07 Thread ASF GitHub Bot (JIRA)

[ 
https://issues.apache.org/jira/browse/MXNET-33?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16389816#comment-16389816
 ] 

ASF GitHub Bot commented on MXNET-33:
-

zheng-da commented on a change in pull request #10021: [WIP] [MXNET-33] Mkldnn 
pooling convention crash
URL: https://github.com/apache/incubator-mxnet/pull/10021#discussion_r172915279
 
 

 ##
 File path: src/operator/nn/mkldnn/mkldnn_pooling-inl.h
 ##
 @@ -92,6 +92,8 @@ inline bool SupportMKLDNNPooling(const PoolingParam ¶m,
 
   if (param.pooling_convention == pool_enum::kValid)
 return true;
+  else
+return false;
 
 Review comment:
   maybe use "#if 0" to comment the checks below?


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> mxnet mkl-dnn crashes for Max pooling with convention "full" 
> -
>
> Key: MXNET-33
> URL: https://issues.apache.org/jira/browse/MXNET-33
> Project: Apache MXNet
>  Issue Type: Bug
>Reporter: Ashok Emani
>Assignee: Chris Olivier
>Priority: Minor
>
> A crash is seen when running SSD-VGG16 300 VOC , with mxnet mkldnn build, for 
> the following op.
>  
> "op": "Pooling",                            
> "attrs": {                     
>   "kernel": "(2, 2)",          
>   "pool_type": "max",          
>   "pooling_convention": "full",
>   "stride": "(2, 2)"           
> },    
>                       



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[jira] [Commented] (MXNET-33) mxnet mkl-dnn crashes for Max pooling with convention "full"

2018-03-07 Thread ASF GitHub Bot (JIRA)

[ 
https://issues.apache.org/jira/browse/MXNET-33?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16389784#comment-16389784
 ] 

ASF GitHub Bot commented on MXNET-33:
-

ashokei commented on a change in pull request #10021: [MXNET-33] Mkldnn pooling 
convention crash
URL: https://github.com/apache/incubator-mxnet/pull/10021#discussion_r172909508
 
 

 ##
 File path: src/operator/nn/mkldnn/mkldnn_pooling-inl.h
 ##
 @@ -92,6 +92,8 @@ inline bool SupportMKLDNNPooling(const PoolingParam ¶m,
 
   if (param.pooling_convention == pool_enum::kValid)
 return true;
+  else
+return false;
 
 Review comment:
   @piiswrong the later code is being disabled for now until we support all 
"full" pooling convention cases.  As @TaoLv mentioned, i will add a unit-test 
for this failure. 
   We may refactor this code, so marking this PR WIP for now.
   


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> mxnet mkl-dnn crashes for Max pooling with convention "full" 
> -
>
> Key: MXNET-33
> URL: https://issues.apache.org/jira/browse/MXNET-33
> Project: Apache MXNet
>  Issue Type: Bug
>Reporter: Ashok Emani
>Assignee: Chris Olivier
>Priority: Minor
>
> A crash is seen when running SSD-VGG16 300 VOC , with mxnet mkldnn build, for 
> the following op.
>  
> "op": "Pooling",                            
> "attrs": {                     
>   "kernel": "(2, 2)",          
>   "pool_type": "max",          
>   "pooling_convention": "full",
>   "stride": "(2, 2)"           
> },    
>                       



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[jira] [Updated] (MXNET-34) Onnx Module to import onnx models into mxnet

2018-03-07 Thread Rajan (JIRA)

 [ 
https://issues.apache.org/jira/browse/MXNET-34?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Rajan updated MXNET-34:
---
Description: 
This module tries to import onnx models into mxnet.

 

 

Github pull request: http://example.com] 
https://github.com/apache/incubator-mxnet/pull/9963

  was:This module tries to import onnx models into mxnet.


> Onnx Module to import onnx models into mxnet
> 
>
> Key: MXNET-34
> URL: https://issues.apache.org/jira/browse/MXNET-34
> Project: Apache MXNet
>  Issue Type: Task
>Reporter: Rajan
>Assignee: Chris Olivier
>Priority: Major
>
> This module tries to import onnx models into mxnet.
>  
>  
> Github pull request: http://example.com] 
> https://github.com/apache/incubator-mxnet/pull/9963



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[jira] [Updated] (MXNET-34) Onnx Module to import onnx models into mxnet

2018-03-07 Thread Rajan (JIRA)

 [ 
https://issues.apache.org/jira/browse/MXNET-34?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Rajan updated MXNET-34:
---
Description: 
This module tries to import onnx models into mxnet.

 

 

Github pull request: [https://github.com/apache/incubator-mxnet/pull/9963]

  was:
This module tries to import onnx models into mxnet.

 

 

Github pull request: http://example.com] 
https://github.com/apache/incubator-mxnet/pull/9963


> Onnx Module to import onnx models into mxnet
> 
>
> Key: MXNET-34
> URL: https://issues.apache.org/jira/browse/MXNET-34
> Project: Apache MXNet
>  Issue Type: Task
>Reporter: Rajan
>Assignee: Chris Olivier
>Priority: Major
>
> This module tries to import onnx models into mxnet.
>  
>  
> Github pull request: [https://github.com/apache/incubator-mxnet/pull/9963]



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[jira] [Created] (MXNET-46) remove set CMAKE_GENERATOR_TOOLSET

2018-03-07 Thread Hu Shiwen (JIRA)
Hu Shiwen created MXNET-46:
--

 Summary: remove set CMAKE_GENERATOR_TOOLSET
 Key: MXNET-46
 URL: https://issues.apache.org/jira/browse/MXNET-46
 Project: Apache MXNet
  Issue Type: Improvement
Reporter: Hu Shiwen
Assignee: Chris Olivier


 
The setting is already superfluous.



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[jira] [Commented] (MXNET-38) Add reshape predicator function to c_predict_api

2018-03-07 Thread ASF GitHub Bot (JIRA)

[ 
https://issues.apache.org/jira/browse/MXNET-38?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16389640#comment-16389640
 ] 

ASF GitHub Bot commented on MXNET-38:
-

Ldpe2G commented on issue #9984: [MXNET-38]add reshape predicator function to 
c_predict_api
URL: https://github.com/apache/incubator-mxnet/pull/9984#issuecomment-371159253
 
 
   @cjolivier01 I have updated the pr


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> Add reshape predicator function to c_predict_api
> 
>
> Key: MXNET-38
> URL: https://issues.apache.org/jira/browse/MXNET-38
> Project: Apache MXNet
>  Issue Type: Improvement
>Reporter: liangdepeng
>Assignee: Chris Olivier
>Priority: Major
>
> add a function to c_predict_api which can change the input shape of an 
> already created predicator .



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[jira] [Created] (MXNET-45) Make Amalgamation with multiple jobs

2018-03-07 Thread Marco de Abreu (JIRA)
Marco de Abreu created MXNET-45:
---

 Summary: Make Amalgamation with multiple jobs
 Key: MXNET-45
 URL: https://issues.apache.org/jira/browse/MXNET-45
 Project: Apache MXNet
  Issue Type: Bug
Reporter: Marco de Abreu
Assignee: Chris Olivier


{code:java}
+ set +x
++ nproc
+ make -C amalgamation/ clean -j96
make: Entering directory '/work/mxnet/amalgamation'
rm -f *.d *.o *.so *.a *.js *.js.mem mxnet_predict-all.cc nnvm.cc
make: Leaving directory '/work/mxnet/amalgamation'
++ nproc
+ make -C amalgamation/ USE_BLAS=openblas -j96
make: Entering directory '/work/mxnet/amalgamation'
./prep_nnvm.sh
g++ -std=c++11 -Wno-unknown-pragmas -Wall -DMSHADOW_USE_CBLAS=1 
-DDISABLE_OPENMP=1 -DMSHADOW_USE_CUDA=0 -DMSHADOW_USE_MKL=0 
-DMSHADOW_RABIT_PS=0 -DMSHADOW_DIST_PS=0 -DDMLC_LOG_STACK_TRACE=0 
-DMSHADOW_FORCE_STREAM -DMXNET_USE_OPENCV=0 -DMXNET_PREDICT_ONLY=1 
-I/usr/local/opt/openblas -I/usr/local/opt/openblas/include -M -MT 
dmlc-minimum0.o \
-I `pwd`/../dmlc-core/include \
-D__MIN__=0 dmlc-minimum0.cc > dmlc.d
make: *** No rule to make target 'nnvm.cc', needed by 'mxnet_predict-all.cc'. 
Stop.
make: *** Waiting for unfinished jobs
make[1]: Entering directory '/work/mxnet/nnvm/amalgamation'
make[1]: warning: jobserver unavailable: using -j1. Add '+' to parent make rule.
rm -f *.d *.o *.so *.a nnvm-all.cc nnvm.cc
make[1]: Leaving directory '/work/mxnet/nnvm/amalgamation'
make[1]: Entering directory '/work/mxnet/nnvm/amalgamation'
make[1]: warning: jobserver unavailable: using -j1. Add '+' to parent make rule.
python generate.py nnvm.cc
g++ -std=c++11 -Wall -O2 -Iinclude -fPIC 
-I/work/mxnet/amalgamation/../dmlc-core/include -M -MT nnvm.o \
-I `pwd`/../ -I `pwd`/../include \
-D__MIN__=0 nnvm.cc > nnvm.d
make[1]: Leaving directory '/work/mxnet/nnvm/amalgamation'
make: Leaving directory '/work/mxnet/amalgamation'
{code}



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[jira] [Assigned] (MXNET-43) Build Nvidia Jetson and Raspberry Pi as part of CI

2018-03-07 Thread Marco de Abreu (JIRA)

 [ 
https://issues.apache.org/jira/browse/MXNET-43?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Marco de Abreu reassigned MXNET-43:
---

Assignee: Marco de Abreu  (was: Chris Olivier)

> Build Nvidia Jetson and Raspberry Pi as part of CI
> --
>
> Key: MXNET-43
> URL: https://issues.apache.org/jira/browse/MXNET-43
> Project: Apache MXNet
>  Issue Type: Improvement
>Reporter: Marco de Abreu
>Assignee: Marco de Abreu
>Priority: Major
>
> Build Nvidia Jetson and Raspberry Pi as part of CI



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[jira] [Assigned] (MXNET-42) Make CI failures locally reproducible

2018-03-07 Thread Marco de Abreu (JIRA)

 [ 
https://issues.apache.org/jira/browse/MXNET-42?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Marco de Abreu reassigned MXNET-42:
---

Assignee: Marco de Abreu  (was: Chris Olivier)

> Make CI failures locally reproducible
> -
>
> Key: MXNET-42
> URL: https://issues.apache.org/jira/browse/MXNET-42
> Project: Apache MXNet
>  Issue Type: Improvement
>Reporter: Marco de Abreu
>Assignee: Marco de Abreu
>Priority: Major
>
> At the moment, it's hard to reproduce CI failures. Ideally, every failure 
> could be reproduced by executing a single command.



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[jira] [Assigned] (MXNET-44) Build and test CentOS 7 as part of CI

2018-03-07 Thread Marco de Abreu (JIRA)

 [ 
https://issues.apache.org/jira/browse/MXNET-44?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Marco de Abreu reassigned MXNET-44:
---

Assignee: Marco de Abreu  (was: Chris Olivier)

> Build and test CentOS 7 as part of CI
> -
>
> Key: MXNET-44
> URL: https://issues.apache.org/jira/browse/MXNET-44
> Project: Apache MXNet
>  Issue Type: Improvement
>Reporter: Marco de Abreu
>Assignee: Marco de Abreu
>Priority: Major
>
> Build and test CentOS 7 as part of CI



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[jira] [Created] (MXNET-44) Build and test CentOS 7 as part of CI

2018-03-07 Thread Marco de Abreu (JIRA)
Marco de Abreu created MXNET-44:
---

 Summary: Build and test CentOS 7 as part of CI
 Key: MXNET-44
 URL: https://issues.apache.org/jira/browse/MXNET-44
 Project: Apache MXNet
  Issue Type: Improvement
Reporter: Marco de Abreu
Assignee: Chris Olivier


Build and test CentOS 7 as part of CI



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[jira] [Created] (MXNET-43) Build Nvidia Jetson and Raspberry Pi as part of CI

2018-03-07 Thread Marco de Abreu (JIRA)
Marco de Abreu created MXNET-43:
---

 Summary: Build Nvidia Jetson and Raspberry Pi as part of CI
 Key: MXNET-43
 URL: https://issues.apache.org/jira/browse/MXNET-43
 Project: Apache MXNet
  Issue Type: Improvement
Reporter: Marco de Abreu
Assignee: Chris Olivier


Build Nvidia Jetson and Raspberry Pi as part of CI



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[jira] [Created] (MXNET-42) Make CI failures locally reproducible

2018-03-07 Thread Marco de Abreu (JIRA)
Marco de Abreu created MXNET-42:
---

 Summary: Make CI failures locally reproducible
 Key: MXNET-42
 URL: https://issues.apache.org/jira/browse/MXNET-42
 Project: Apache MXNet
  Issue Type: Improvement
Reporter: Marco de Abreu
Assignee: Chris Olivier


At the moment, it's hard to reproduce CI failures. Ideally, every failure could 
be reproduced by executing a single command.



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[jira] [Created] (MXNET-41) Build instructions for C++ package is missing

2018-03-07 Thread David Braude (JIRA)
David Braude created MXNET-41:
-

 Summary: Build instructions for C++ package is missing
 Key: MXNET-41
 URL: https://issues.apache.org/jira/browse/MXNET-41
 Project: Apache MXNet
  Issue Type: Bug
Reporter: David Braude
Assignee: Chris Olivier


[https://mxnet.incubator.apache.org/get_started/build_from_source.html#build-the-c++-package]

 

referenced from

https://mxnet.incubator.apache.org/tutorials/c++/basics.html

gives a 404



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[jira] [Issue Comment Deleted] (MXNET-40) add multi proposal operator (cpu version) and fix the bug in proposal op (gpu version)

2018-03-07 Thread Kan Wu (JIRA)

 [ 
https://issues.apache.org/jira/browse/MXNET-40?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Kan Wu updated MXNET-40:

Comment: was deleted

(was: PR: https://github.com/apache/incubator-mxnet/pull/9939)

> add multi proposal operator (cpu version) and fix the bug in proposal op (gpu 
> version)
> --
>
> Key: MXNET-40
> URL: https://issues.apache.org/jira/browse/MXNET-40
> Project: Apache MXNet
>  Issue Type: Improvement
>Reporter: Kan Wu
>Assignee: Chris Olivier
>Priority: Major
>
> The multi_proposal operator ({{mxnet.sym.contrib.MultiProposal}}, CPU 
> version) is not implemented before.
> I wrote the code about it.
> And I found there was a bug in _proposal.cu_ and _multi_proposal.cu_.
> The {{batch_size}} of the output of _Proposal_ and _MultiProposal_ are both 
> {{param_.rpn_post_nms_top_n}}.
> When {{count_anchors < param_.rpn_post_nms_top_n}}, the variable 
> {{rpn_post_nms_top_n}} will be {{count_anchors}}, which is less than 
> {{param_.rpn_post_nms_top_n}}.
> [https://github.com/apache/incubator-mxnet/blob/master/src/operator/contrib/proposal.cu#L438]
> It will cause the problem that the output whose index is larger than 
> {{rpn_post_nms_top_n}} will be _not assigned_.



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[jira] [Commented] (MXNET-40) add multi proposal operator (cpu version) and fix the bug in proposal op (gpu version)

2018-03-07 Thread Kan Wu (JIRA)

[ 
https://issues.apache.org/jira/browse/MXNET-40?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16389326#comment-16389326
 ] 

Kan Wu commented on MXNET-40:
-

PR: https://github.com/apache/incubator-mxnet/pull/9939

> add multi proposal operator (cpu version) and fix the bug in proposal op (gpu 
> version)
> --
>
> Key: MXNET-40
> URL: https://issues.apache.org/jira/browse/MXNET-40
> Project: Apache MXNet
>  Issue Type: Improvement
>Reporter: Kan Wu
>Assignee: Chris Olivier
>Priority: Major
>
> The multi_proposal operator ({{mxnet.sym.contrib.MultiProposal}}, CPU 
> version) is not implemented before.
> I wrote the code about it.
> And I found there was a bug in _proposal.cu_ and _multi_proposal.cu_.
> The {{batch_size}} of the output of _Proposal_ and _MultiProposal_ are both 
> {{param_.rpn_post_nms_top_n}}.
> When {{count_anchors < param_.rpn_post_nms_top_n}}, the variable 
> {{rpn_post_nms_top_n}} will be {{count_anchors}}, which is less than 
> {{param_.rpn_post_nms_top_n}}.
> [https://github.com/apache/incubator-mxnet/blob/master/src/operator/contrib/proposal.cu#L438]
> It will cause the problem that the output whose index is larger than 
> {{rpn_post_nms_top_n}} will be _not assigned_.



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[jira] [Created] (MXNET-40) add multi proposal operator (cpu version) and fix the bug in proposal op (gpu version)

2018-03-07 Thread Kan Wu (JIRA)
Kan Wu created MXNET-40:
---

 Summary: add multi proposal operator (cpu version) and fix the bug 
in proposal op (gpu version)
 Key: MXNET-40
 URL: https://issues.apache.org/jira/browse/MXNET-40
 Project: Apache MXNet
  Issue Type: Improvement
Reporter: Kan Wu
Assignee: Chris Olivier


The multi_proposal operator ({{mxnet.sym.contrib.MultiProposal}}, CPU version) 
is not implemented before.
I wrote the code about it.

And I found there was a bug in _proposal.cu_ and _multi_proposal.cu_.
The {{batch_size}} of the output of _Proposal_ and _MultiProposal_ are both 
{{param_.rpn_post_nms_top_n}}.
When {{count_anchors < param_.rpn_post_nms_top_n}}, the variable 
{{rpn_post_nms_top_n}} will be {{count_anchors}}, which is less than 
{{param_.rpn_post_nms_top_n}}.
[https://github.com/apache/incubator-mxnet/blob/master/src/operator/contrib/proposal.cu#L438]

It will cause the problem that the output whose index is larger than 
{{rpn_post_nms_top_n}} will be _not assigned_.



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[jira] [Created] (MXNET-39) Mathematical function unary ops related to CDF of normal distribution

2018-03-07 Thread Matthias Seeger (JIRA)
Matthias Seeger created MXNET-39:


 Summary: Mathematical function unary ops related to CDF of normal 
distribution
 Key: MXNET-39
 URL: https://issues.apache.org/jira/browse/MXNET-39
 Project: Apache MXNet
  Issue Type: Improvement
Reporter: Matthias Seeger
Assignee: Chris Olivier


PR is doing two things:
 * New math function unary ops
 * Improve unit tests for unary and binary basic ops

New ops implement log of CDF of standard normal (scipy.stats.norm.logcdf), and 
its derivative. Required in many Bayesian ML algorithms:
 * Bayesian optimization for hyperparameter tuning
 * Expectation propagation for binary classification

 This can go to contrib for now.



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[jira] [Created] (MXNET-38) Add reshape predicator function to c_predict_api

2018-03-07 Thread liangdepeng (JIRA)
liangdepeng created MXNET-38:


 Summary: Add reshape predicator function to c_predict_api
 Key: MXNET-38
 URL: https://issues.apache.org/jira/browse/MXNET-38
 Project: Apache MXNet
  Issue Type: Improvement
Reporter: liangdepeng
Assignee: Chris Olivier


add a function to c_predict_api which can change the input shape of an already 
created predicator .



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[jira] [Created] (MXNET-37) Improve documentation for distributed training

2018-03-07 Thread Rahul Huilgol (JIRA)
Rahul Huilgol created MXNET-37:
--

 Summary: Improve documentation for distributed training
 Key: MXNET-37
 URL: https://issues.apache.org/jira/browse/MXNET-37
 Project: Apache MXNet
  Issue Type: New Feature
Reporter: Rahul Huilgol
Assignee: Chris Olivier


Write a tutorial



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[jira] [Commented] (MXNET-23) Profiling server process in distributed training

2018-03-07 Thread ASF GitHub Bot (JIRA)

[ 
https://issues.apache.org/jira/browse/MXNET-23?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16389218#comment-16389218
 ] 

ASF GitHub Bot commented on MXNET-23:
-

rahul003 commented on a change in pull request #9933: [MXNET-23] Adding support 
to profile kvstore server during distributed training
URL: https://github.com/apache/incubator-mxnet/pull/9933#discussion_r172764504
 
 

 ##
 File path: src/kvstore/kvstore_dist_server.h
 ##
 @@ -153,23 +157,82 @@ class KVStoreDistServer {
 
   void CommandHandle(const ps::SimpleData& recved, ps::SimpleApp* app) {
 CommandType recved_type = static_cast(recved.head);
-if (recved_type == CommandType::kStopServer) {
-  exec_.Stop();
-} else if (recved_type == CommandType::kSyncMode) {
-  sync_mode_ = true;
-} else if (recved_type == CommandType::kSetGradientCompression) {
-  gradient_compression_->DecodeParams(recved.body);
-} else {
-  // this uses value 0 for message id from frontend
-  // let the main thread to execute ctrl, which is necessary for python
-  exec_.Exec([this, recved]() {
-  CHECK(controller_);
-  controller_(recved.head, recved.body);
-});
+switch (recved_type) {
+  case CommandType::kStopServer:
+exec_.Stop();
+break;
+  case CommandType::kSyncMode:
+sync_mode_ = true;
+break;
+  case CommandType::kSetGradientCompression:
+gradient_compression_->DecodeParams(recved.body);
+break;
+  case CommandType::kSetProfilerParams:
+// last char is the type of profiler command
+ProcessServerProfilerCommands(static_cast
+  (recved.body.back() - '0'),
+  recved.body);
+break;
+  case CommandType::kController:
+// this uses value 0 for message id from frontend
+// let the main thread to execute ctrl, which is necessary for python
+exec_.Exec([this, recved]() {
+CHECK(controller_);
+controller_(recved.head, recved.body);
+  });
+break;
 }
 app->Response(recved);
   }
 
+  void ProcessServerProfilerCommands(KVStoreServerProfilerCommand type, const 
std::string& body) {
+switch (type) {
+  case KVStoreServerProfilerCommand::kSetConfig:
+SetProfilerConfig(body.substr(0, body.size() - 1));
+break;
+  case KVStoreServerProfilerCommand::kState:
+MXSetProfilerState(static_cast(body.front() - '0'));
+break;
+  case KVStoreServerProfilerCommand::kPause:
+MXProfilePause(static_cast(body.front() - '0'));
+break;
+  case KVStoreServerProfilerCommand::kDump:
+MXDumpProfile(static_cast(body.front() - '0'));
+break;
+}
+  }
+
+  void SetProfilerConfig(std::string params_str) {
+std::vector elems;
+mxnet::kvstore::split(params_str, ',', std::back_inserter(elems));
+std::vector ckeys;
+std::vector cvals;
+ckeys.reserve(elems.size());
+cvals.reserve(elems.size());
+
+for (int i=0; i < elems.size(); i++) {
+  std::vector parts;
+  mxnet::kvstore::split(elems[i], ':', std::back_inserter(parts));
+  CHECK(!parts[0].empty());
+  CHECK(!parts[1].empty());
 
 Review comment:
   They shouldn't happen, but the second one can happen because of user error. 
And I still kept the first, so we have a check in case python does not pass the 
key properly for some reason. 
   
   I added better error messages to CHECK itself.


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> Profiling server process in distributed training
> 
>
> Key: MXNET-23
> URL: https://issues.apache.org/jira/browse/MXNET-23
> Project: Apache MXNet
>  Issue Type: New Feature
>  Components: MXNet Engine
>Reporter: Rahul Huilgol
>Assignee: Rahul Huilgol
>Priority: Major
>




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