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Vandana Kannan updated MXNET-702:
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Status: Done (was: In Progress)
> Dangling outputs and dtype != float32: Gradient computation fai
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https://issues.apache.org/jira/browse/MXNET-666?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Vandana Kannan updated MXNET-666:
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Resolution: Feedback Received
Status: Done (was: To Do)
Submitter closed the issue as the
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https://issues.apache.org/jira/browse/MXNET-803?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hao Jin updated MXNET-803:
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Status: In Review (was: In Progress)
> Inconsistent / wrong output from sum
> -
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https://issues.apache.org/jira/browse/MXNET-802?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hao Jin updated MXNET-802:
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Status: In Progress (was: To Do)
> Autograd fails when using `take` operator repeatedly
> -
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https://issues.apache.org/jira/browse/MXNET-801?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hao Jin updated MXNET-801:
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Resolution: Not A Bug
Status: Done (was: To Do)
> non-deterministic backward of scatter_nd
> --
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Hao Jin updated MXNET-802:
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Status: In Review (was: In Progress)
> Autograd fails when using `take` operator repeatedly
> -
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https://issues.apache.org/jira/browse/MXNET-803?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hao Jin updated MXNET-803:
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Status: In Progress (was: To Do)
> Inconsistent / wrong output from sum
>
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https://issues.apache.org/jira/browse/MXNET-811?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hao Jin updated MXNET-811:
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Status: In Progress (was: To Do)
> test_arange failure - Jetson TX2 (CPU)
> ---
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https://issues.apache.org/jira/browse/MXNET-804?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hao Jin updated MXNET-804:
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Status: In Progress (was: To Do)
> nd.softmax() doesn't support grad_req='add'
> --
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https://issues.apache.org/jira/browse/MXNET-811?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hao Jin updated MXNET-811:
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Status: In Review (was: In Progress)
> test_arange failure - Jetson TX2 (CPU)
> ---
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https://issues.apache.org/jira/browse/MXNET-799?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Lin Yuan updated MXNET-799:
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Status: In Progress (was: To Do)
> Gradient function not returning enough gradient
>
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https://issues.apache.org/jira/browse/MXNET-579?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Lin Yuan updated MXNET-579:
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Status: Done (was: In Progress)
> Gluon raises error if the user does not call nd.waitall()
> ---
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https://issues.apache.org/jira/browse/MXNET-633?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Lin Yuan updated MXNET-633:
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Sprint: (was: )
> Fix the begin_round for epochs while training in R
> -
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https://issues.apache.org/jira/browse/MXNET-784?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Lin Yuan updated MXNET-784:
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Sprint: (was: )
> Need to have multiple loss function while training in R
>
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https://issues.apache.org/jira/browse/MXNET-799?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16581630#comment-16581630
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Lin Yuan commented on MXNET-799:
Not able to reproduce.
> Gradient function not returning
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Lin Yuan updated MXNET-799:
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Status: Done (was: In Progress)
> Gradient function not returning enough gradient
> -
Anirudh Acharya created MXNET-823:
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Summary: Make NDArrays mutable in the R API
Key: MXNET-823
URL: https://issues.apache.org/jira/browse/MXNET-823
Project: Apache MXNet
Issue Type: Improveme
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https://issues.apache.org/jira/browse/MXNET-823?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Anirudh Acharya updated MXNET-823:
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Description:
Python API's ndarray objects are mutable, whereas in the R API the ndarray
objects
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https://issues.apache.org/jira/browse/MXNET-633?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Ankit Khedia updated MXNET-633:
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Resolution: Fixed
Status: Done (was: To Do)
> Fix the begin_round for epochs while training i
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https://issues.apache.org/jira/browse/MXNET-671?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Ankit Khedia updated MXNET-671:
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Status: In Progress (was: To Do)
> How to specify input format for charRNN model in MXNet-R
> ---
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https://issues.apache.org/jira/browse/MXNET-783?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Ankit Khedia updated MXNET-783:
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Status: In Progress (was: Done)
Resolution: (was: Fixed)
> Describe input format for char
Ankit Khedia created MXNET-824:
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Summary: LSTM work for this multidimensional sequence
Key: MXNET-824
URL: https://issues.apache.org/jira/browse/MXNET-824
Project: Apache MXNet
Issue Type: Impro
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https://issues.apache.org/jira/browse/MXNET-824?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Ankit Khedia reassigned MXNET-824:
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Assignee: Ankit Khedia
> LSTM work for this multidimensional sequence
> ---
Ankit Khedia created MXNET-825:
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Summary: Fix CGAN tutorial
Key: MXNET-825
URL: https://issues.apache.org/jira/browse/MXNET-825
Project: Apache MXNet
Issue Type: Improvement
Reporte
Anirudh Acharya created MXNET-826:
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Summary: Autograd/Autodiff in R API
Key: MXNET-826
URL: https://issues.apache.org/jira/browse/MXNET-826
Project: Apache MXNet
Issue Type: New Feature
Ankit Khedia created MXNET-827:
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Summary: Input format for mx.rnn
Key: MXNET-827
URL: https://issues.apache.org/jira/browse/MXNET-827
Project: Apache MXNet
Issue Type: Improvement
R
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Ankit Khedia reassigned MXNET-827:
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Assignee: Ankit Khedia
> Input format for mx.rnn
>
>
>
Anirudh Acharya created MXNET-828:
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Summary: Tutorial for Deep Reinforcement Learning
Key: MXNET-828
URL: https://issues.apache.org/jira/browse/MXNET-828
Project: Apache MXNet
Issue Type: Sto
Ankit Khedia created MXNET-830:
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Summary: Training with multiple features for LSTM
Key: MXNET-830
URL: https://issues.apache.org/jira/browse/MXNET-830
Project: Apache MXNet
Issue Type: Improveme
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https://issues.apache.org/jira/browse/MXNET-830?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Ankit Khedia reassigned MXNET-830:
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Assignee: Ankit Khedia
> Training with multiple features for LSTM
> ---
Anirudh Acharya created MXNET-831:
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Summary: R-package with GPU, speed-up much less for regression
example than classification
Key: MXNET-831
URL: https://issues.apache.org/jira/browse/MXNET-831
Proje
Anirudh Acharya created MXNET-832:
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Summary: Autoencoder support in R API
Key: MXNET-832
URL: https://issues.apache.org/jira/browse/MXNET-832
Project: Apache MXNet
Issue Type: New Feature
Ankit Khedia created MXNET-829:
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Summary: MXNET COU WORKER THREADS usage in R
Key: MXNET-829
URL: https://issues.apache.org/jira/browse/MXNET-829
Project: Apache MXNet
Issue Type: Improvement
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https://issues.apache.org/jira/browse/MXNET-785?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Anirudh Acharya updated MXNET-785:
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Priority: Major (was: Critical)
> How to create new operators in mxnet-R
>
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https://issues.apache.org/jira/browse/MXNET-831?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Anirudh Acharya updated MXNET-831:
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Priority: Critical (was: Major)
> R-package with GPU, speed-up much less for regression example
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https://issues.apache.org/jira/browse/MXNET-829?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Anirudh Acharya updated MXNET-829:
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Summary: MXNET CPU WORKER THREADS usage in R (was: MXNET COU WORKER
THREADS usage in R)
> MXNE
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https://issues.apache.org/jira/browse/MXNET-829?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Anirudh Acharya updated MXNET-829:
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Priority: Critical (was: Major)
> MXNET CPU WORKER THREADS usage in R
> ---
Ankit Khedia created MXNET-833:
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Summary: Fix char RNN example
Key: MXNET-833
URL: https://issues.apache.org/jira/browse/MXNET-833
Project: Apache MXNet
Issue Type: Improvement
Repor
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https://issues.apache.org/jira/browse/MXNET-833?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Ankit Khedia reassigned MXNET-833:
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Assignee: Ankit Khedia
> Fix char RNN example
>
>
> Key: M
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https://issues.apache.org/jira/browse/MXNET-825?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Anirudh Acharya updated MXNET-825:
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Priority: Critical (was: Major)
> Fix CGAN tutorial
> --
>
> K
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https://issues.apache.org/jira/browse/MXNET-824?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Ankit Khedia updated MXNET-824:
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Summary: make LSTM work for this multidimensional sequence (was: LSTM work
for this multidimensional
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https://issues.apache.org/jira/browse/MXNET-824?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Anirudh Acharya updated MXNET-824:
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Priority: Critical (was: Major)
> make LSTM work for this multidimensional sequence
> -
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https://issues.apache.org/jira/browse/MXNET-827?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Anirudh Acharya updated MXNET-827:
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Priority: Critical (was: Major)
> Input format for mx.rnn
>
>
>
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https://issues.apache.org/jira/browse/MXNET-636?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Ankit Khedia reassigned MXNET-636:
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Assignee: Ankit Khedia
> R crashes while training/transfer-learning with vgg16
> --
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https://issues.apache.org/jira/browse/MXNET-787?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Anirudh Acharya reassigned MXNET-787:
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Assignee: Anirudh Acharya
> Call im2Rec in R API
>
>
>
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https://issues.apache.org/jira/browse/MXNET-825?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Anirudh Acharya reassigned MXNET-825:
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Assignee: Anirudh Acharya
> Fix CGAN tutorial
> --
>
> K
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https://issues.apache.org/jira/browse/MXNET-829?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Anirudh Acharya reassigned MXNET-829:
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Assignee: Anirudh Acharya
> MXNET CPU WORKER THREADS usage in R
> ---
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https://issues.apache.org/jira/browse/MXNET-787?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Anirudh Acharya reassigned MXNET-787:
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Assignee: (was: Anirudh Acharya)
> Call im2Rec in R API
>
>
>
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https://issues.apache.org/jira/browse/MXNET-831?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Ankit Khedia reassigned MXNET-831:
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Assignee: Ankit Khedia
> R-package with GPU, speed-up much less for regression example than
>
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https://issues.apache.org/jira/browse/MXNET-787?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Ankit Khedia reassigned MXNET-787:
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Assignee: Ankit Khedia
> Call im2Rec in R API
>
>
> Key: M
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https://issues.apache.org/jira/browse/MXNET-672?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16581728#comment-16581728
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Anirudh Acharya commented on MXNET-672:
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Will be part of fixing C-GAN tutorial
> Ne
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https://issues.apache.org/jira/browse/MXNET-672?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Anirudh Acharya reassigned MXNET-672:
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Assignee: Anirudh Acharya
> Newly built mxnet binaries encounters out of memory error wit
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https://issues.apache.org/jira/browse/MXNET-786?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Anirudh Acharya updated MXNET-786:
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Priority: Major (was: Critical)
> Specify layer specific learning rate while training in R
> --
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https://issues.apache.org/jira/browse/MXNET-786?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Anirudh Acharya updated MXNET-786:
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Issue Type: New Feature (was: Bug)
> Specify layer specific learning rate while training in R
>
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https://issues.apache.org/jira/browse/MXNET-785?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Anirudh Acharya updated MXNET-785:
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Issue Type: Task (was: Bug)
> How to create new operators in mxnet-R
>
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