[jira] [Assigned] (MXNET-784) Need to have multiple loss function while training in R

[ https://issues.apache.org/jira/browse/MXNET-784?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya reassigned MXNET-784: - Assignee: Anirudh Acharya > Need to have multiple loss function while training in R >

[jira] [Assigned] (MXNET-786) Specify layer specific learning rate while training in R

[ https://issues.apache.org/jira/browse/MXNET-786?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya reassigned MXNET-786: - Assignee: Anirudh Acharya > Specify layer specific learning rate while training in R >

[jira] [Updated] (MXNET-765) Fix flaky test for elementwise_sum

[ https://issues.apache.org/jira/browse/MXNET-765?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-765: -- Status: Done (was: In Review) > Fix flaky test for elementwise_sum >

[jira] [Updated] (MXNET-782) Custom Metric Creation in R tutorial is incorrect

[ https://issues.apache.org/jira/browse/MXNET-782?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-782: -- Status: In Review (was: In Progress) > Custom Metric Creation in R tutorial is incorrect >

[jira] [Updated] (MXNET-782) Custom Metric Creation in R tutorial is incorrect

[ https://issues.apache.org/jira/browse/MXNET-782?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-782: -- Summary: Custom Metric Creation in R tutorial is incorrect (was: Custom Metric Creation in R

[jira] [Assigned] (MXNET-785) How to create new operators in mxnet-R

[ https://issues.apache.org/jira/browse/MXNET-785?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya reassigned MXNET-785: - Assignee: Anirudh Acharya > How to create new operators in mxnet-R >

[jira] [Assigned] (MXNET-782) Custom Metric Creation in R API is broken

[ https://issues.apache.org/jira/browse/MXNET-782?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya reassigned MXNET-782: - Assignee: Anirudh Acharya > Custom Metric Creation in R API is broken >

[jira] [Updated] (MXNET-638) How to train with Input Dropout Layer in MXNet R

[ https://issues.apache.org/jira/browse/MXNET-638?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-638: -- Status: Done (was: In Review) > How to train with Input Dropout Layer in MXNet R >

[jira] [Updated] (MXNET-767) Fix flaky test for kl_loss

[ https://issues.apache.org/jira/browse/MXNET-767?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-767: -- Status: Done (was: In Review) > Fix flaky test for kl_loss > -- > >

[jira] [Updated] (MXNET-768) Fix flaky test for norm operator

[ https://issues.apache.org/jira/browse/MXNET-768?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-768: -- Status: In Review (was: In Progress) > Fix flaky test for norm operator >

[jira] [Created] (MXNET-785) How to create new operators in mxnet-R

Anirudh Acharya created MXNET-785: - Summary: How to create new operators in mxnet-R Key: MXNET-785 URL: https://issues.apache.org/jira/browse/MXNET-785 Project: Apache MXNet Issue Type: Bug

[jira] [Created] (MXNET-784) Need to have multiple loss function while training in R

Anirudh Acharya created MXNET-784: - Summary: Need to have multiple loss function while training in R Key: MXNET-784 URL: https://issues.apache.org/jira/browse/MXNET-784 Project: Apache MXNet

[jira] [Updated] (MXNET-782) Custom Metric Creation in R API is broken

[ https://issues.apache.org/jira/browse/MXNET-782?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-782: -- Priority: Critical (was: Major) > Custom Metric Creation in R API is broken >

[jira] [Created] (MXNET-782) Custom Metric Creation in R API is broken

Anirudh Acharya created MXNET-782: - Summary: Custom Metric Creation in R API is broken Key: MXNET-782 URL: https://issues.apache.org/jira/browse/MXNET-782 Project: Apache MXNet Issue Type:

[jira] [Updated] (MXNET-638) How to train with Input Dropout Layer in MXNet R

[ https://issues.apache.org/jira/browse/MXNET-638?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-638: -- Status: In Review (was: In Progress) > How to train with Input Dropout Layer in MXNet R >

[jira] [Updated] (MXNET-767) Fix flaky test for kl_loss

[ https://issues.apache.org/jira/browse/MXNET-767?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-767: -- Status: In Review (was: In Progress) > Fix flaky test for kl_loss > --

[jira] [Updated] (MXNET-767) Fix flaky test for kl_loss

[ https://issues.apache.org/jira/browse/MXNET-767?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-767: -- Sprint: Scala/Java 1 (07/30-08/13) (was: Apache Sprint 9) > Fix flaky test for kl_loss >

[jira] [Updated] (MXNET-768) Fix flaky test for norm operator

[ https://issues.apache.org/jira/browse/MXNET-768?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-768: -- Sprint: Scala/Java 1 (07/30-08/13) (was: Apache Sprint 9) > Fix flaky test for norm operator >

[jira] [Updated] (MXNET-344) Extend operator support for ONNX-MXNet import

[ https://issues.apache.org/jira/browse/MXNET-344?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-344: -- Sprint: Apache Sprint 8, Scala/Java 1 (07/30-08/13) (was: Apache Sprint 8, Apache Sprint 9) >

[jira] [Updated] (MXNET-628) Fix LSTM Bucketing example

[ https://issues.apache.org/jira/browse/MXNET-628?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-628: -- Sprint: Apache Sprint 7, Apache Sprint 8, Scala/Java 1 (07/30-08/13) (was: Apache Sprint 7,

[jira] [Updated] (MXNET-765) Fix flaky test for elementwise_sum

[ https://issues.apache.org/jira/browse/MXNET-765?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-765: -- Sprint: Scala/Java 1 (07/30-08/13) (was: Apache Sprint 9) > Fix flaky test for elementwise_sum

[jira] [Updated] (MXNET-638) How to train with Input Dropout Layer in MXNet R

[ https://issues.apache.org/jira/browse/MXNET-638?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-638: -- Sprint: Apache Sprint 7, Apache Sprint 8, Scala/Java 1 (07/30-08/13) (was: Apache Sprint 7,

[jira] [Updated] (MXNET-639) Fix sample.multinomial API

[ https://issues.apache.org/jira/browse/MXNET-639?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-639: -- Sprint: Apache Sprint 7, Apache Sprint 8, Scala/Java 1 (07/30-08/13) (was: Apache Sprint 7,

[jira] [Updated] (MXNET-768) Fix flaky test for norm operator

[ https://issues.apache.org/jira/browse/MXNET-768?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-768: -- Status: In Progress (was: To Do) > Fix flaky test for norm operator >

[jira] [Updated] (MXNET-767) Fix flaky test for kl_loss

[ https://issues.apache.org/jira/browse/MXNET-767?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-767: -- Status: In Progress (was: To Do) > Fix flaky test for kl_loss > -- > >

[jira] [Created] (MXNET-768) Fix flaky test for norm operator

Anirudh Acharya created MXNET-768: - Summary: Fix flaky test for norm operator Key: MXNET-768 URL: https://issues.apache.org/jira/browse/MXNET-768 Project: Apache MXNet Issue Type: Bug

[jira] [Created] (MXNET-767) Fix flaky test for kl_loss

Anirudh Acharya created MXNET-767: - Summary: Fix flaky test for kl_loss Key: MXNET-767 URL: https://issues.apache.org/jira/browse/MXNET-767 Project: Apache MXNet Issue Type: Bug

[jira] [Updated] (MXNET-344) Extend operator support for ONNX-MXNet import

[ https://issues.apache.org/jira/browse/MXNET-344?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-344: -- Sprint: Apache Sprint 8, Apache Sprint 9 (was: Apache Sprint 8) > Extend operator support for

[jira] [Updated] (MXNET-644) Flaky Test Detector

[ https://issues.apache.org/jira/browse/MXNET-644?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-644: -- Sprint: Apache Sprint 7, Apache Sprint 8, Apache Sprint 9 (was: Apache Sprint 7, Apache Sprint

[jira] [Updated] (MXNET-639) Fix sample.multinomial API

[ https://issues.apache.org/jira/browse/MXNET-639?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-639: -- Sprint: Apache Sprint 7, Apache Sprint 8, Apache Sprint 9 (was: Apache Sprint 7, Apache Sprint

[jira] [Updated] (MXNET-693) quantization Layers seg fault instead of displaying proper error message

[ https://issues.apache.org/jira/browse/MXNET-693?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-693: -- Sprint: Apache Sprint 8, Apache Sprint 9 (was: Apache Sprint 8) > quantization Layers seg

[jira] [Updated] (MXNET-443) Sparse Gluon Support for 1.3

[ https://issues.apache.org/jira/browse/MXNET-443?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-443: -- Sprint: Apache Sprint 4, Apache Sprint 5, Apache Sprint 6, Apache Sprint 7, Apache Sprint 8,

[jira] [Updated] (MXNET-437) Subgraph operator

[ https://issues.apache.org/jira/browse/MXNET-437?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-437: -- Sprint: Apache Sprint 4, Apache Sprint 5, Apache Sprint 6, Apache Sprint 7, Apache Sprint 8,

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

[ https://issues.apache.org/jira/browse/MXNET-23?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-23: - Sprint: Apache Sprint 1, Apache Sprint 2, Apache Sprint 3, Apache Sprint 4, Apache Sprint 5,

[jira] [Updated] (MXNET-323) Broadcasting ops are slow

[ https://issues.apache.org/jira/browse/MXNET-323?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-323: -- Sprint: Apache Sprint 3, Apache Sprint 4, Apache Sprint 5, Apache Sprint 6, Apache Sprint 7,

[jira] [Updated] (MXNET-676) tanh activation layer generates values greater than 1

[ https://issues.apache.org/jira/browse/MXNET-676?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-676: -- Sprint: Apache Sprint 7, Apache Sprint 8, Apache Sprint 9 (was: Apache Sprint 7, Apache Sprint

[jira] [Updated] (MXNET-331) NVlink enabled communication patterns for kvstore

[ https://issues.apache.org/jira/browse/MXNET-331?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-331: -- Sprint: Apache Sprint 5, Apache Sprint 6, Apache Sprint 7, Apache Sprint 8, Apache Sprint 9

[jira] [Updated] (MXNET-431) openmp thread number = physical cores number

[ https://issues.apache.org/jira/browse/MXNET-431?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-431: -- Sprint: Apache Sprint 4, Apache Sprint 5, Apache Sprint 6, Apache Sprint 7, Apache Sprint 8,

[jira] [Updated] (MXNET-628) Fix LSTM Bucketing example

[ https://issues.apache.org/jira/browse/MXNET-628?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-628: -- Sprint: Apache Sprint 7, Apache Sprint 8, Apache Sprint 9 (was: Apache Sprint 7, Apache Sprint

[jira] [Updated] (MXNET-520) Make cmake default build

[ https://issues.apache.org/jira/browse/MXNET-520?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-520: -- Sprint: Apache Sprint 5, Apache Sprint 6, Apache Sprint 7, Apache Sprint 8, Apache Sprint 9

[jira] [Updated] (MXNET-638) How to train with Input Dropout Layer in MXNet R

[ https://issues.apache.org/jira/browse/MXNET-638?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-638: -- Sprint: Apache Sprint 7, Apache Sprint 8, Apache Sprint 9 (was: Apache Sprint 7, Apache Sprint

[jira] [Updated] (MXNET-345) Bridging operator gaps between MXNet and ONNX

[ https://issues.apache.org/jira/browse/MXNET-345?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-345: -- Sprint: Apache Sprint 3, Apache Sprint 4, Apache Sprint 5, Apache Sprint 6, Apache Sprint 7,

[jira] [Updated] (MXNET-449) Flaky Tests

[ https://issues.apache.org/jira/browse/MXNET-449?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-449: -- Sprint: Apache Sprint 5, Apache Sprint 6, Apache Sprint 7, Apache Sprint 8, Apache Sprint 9

[jira] [Updated] (MXNET-425) MLK-DNN Integration

[ https://issues.apache.org/jira/browse/MXNET-425?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-425: -- Sprint: Apache Sprint 4, Apache Sprint 5, Apache Sprint 6, Apache Sprint 7, Apache Sprint 8,

[jira] [Updated] (MXNET-765) Fix flaky test for elementwise_sum

[ https://issues.apache.org/jira/browse/MXNET-765?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-765: -- Status: In Review (was: In Progress) > Fix flaky test for elementwise_sum >

[jira] [Updated] (MXNET-765) Fix flaky test for elementwise_sum

[ https://issues.apache.org/jira/browse/MXNET-765?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-765: -- Status: In Progress (was: To Do) > Fix flaky test for elementwise_sum >

[jira] [Assigned] (MXNET-765) Fix flaky test for elementwise_sum

[ https://issues.apache.org/jira/browse/MXNET-765?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya reassigned MXNET-765: - Assignee: Anirudh Acharya (was: Marco de Abreu) > Fix flaky test for elementwise_sum >

[jira] [Created] (MXNET-765) Fix flaky test for elementwise_sum

Anirudh Acharya created MXNET-765: - Summary: Fix flaky test for elementwise_sum Key: MXNET-765 URL: https://issues.apache.org/jira/browse/MXNET-765 Project: Apache MXNet Issue Type: Bug

[jira] [Updated] (MXNET-638) How to train with Input Dropout Layer in MXNet R

[ https://issues.apache.org/jira/browse/MXNET-638?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-638: -- Sprint: Apache Sprint 7, Apache Sprint 8 (was: Apache Sprint 7, Apache Sprint 9) > How to

[jira] [Updated] (MXNET-638) How to train with Input Dropout Layer in MXNet R

[ https://issues.apache.org/jira/browse/MXNET-638?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-638: -- Sprint: Apache Sprint 7, Apache Sprint 9 (was: Apache Sprint 7, Apache Sprint 8) > How to

[jira] [Updated] (MXNET-344) Extend operator support for ONNX-MXNet import

[ https://issues.apache.org/jira/browse/MXNET-344?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-344: -- Sprint: Apache Sprint 8 > Extend operator support for ONNX-MXNet import >

[jira] [Updated] (MXNET-635) Usage of Custom Iterator in R

[ https://issues.apache.org/jira/browse/MXNET-635?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-635: -- Priority: Critical (was: Major) > Usage of Custom Iterator in R >

[jira] [Updated] (MXNET-671) How to specify input format for charRNN model in MXNet-R

[ https://issues.apache.org/jira/browse/MXNET-671?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-671: -- Priority: Critical (was: Major) > How to specify input format for charRNN model in MXNet-R >

[jira] [Updated] (MXNET-633) Fix the begin_round for epochs while training in R

[ https://issues.apache.org/jira/browse/MXNET-633?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-633: -- Priority: Critical (was: Major) > Fix the begin_round for epochs while training in R >

[jira] [Updated] (MXNET-634) Fix eval_metric to eval.metric in R mx.mlp

[ https://issues.apache.org/jira/browse/MXNET-634?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-634: -- Priority: Critical (was: Major) > Fix eval_metric to eval.metric in R mx.mlp >

[jira] [Created] (MXNET-672) Newly built mxnet binaries encounters out of memory error with mx.nd.internal.as.array(nd)

Anirudh Acharya created MXNET-672: - Summary: Newly built mxnet binaries encounters out of memory error with mx.nd.internal.as.array(nd) Key: MXNET-672 URL: https://issues.apache.org/jira/browse/MXNET-672

[jira] [Updated] (MXNET-671) How to specify input format for charRNN model in MXNet-R

[ https://issues.apache.org/jira/browse/MXNET-671?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-671: -- Issue Type: Task (was: Bug) > How to specify input format for charRNN model in MXNet-R >

[jira] [Created] (MXNET-671) How to specify input format for charRNN model in MXNet-R

Anirudh Acharya created MXNET-671: - Summary: How to specify input format for charRNN model in MXNet-R Key: MXNET-671 URL: https://issues.apache.org/jira/browse/MXNET-671 Project: Apache MXNet

[jira] [Updated] (MXNET-639) Fix sample.multinomial API

[ https://issues.apache.org/jira/browse/MXNET-639?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-639: -- Status: In Progress (was: To Do) > Fix sample.multinomial API > -- > >

[jira] [Assigned] (MXNET-634) Fix eval_metric to eval.metric in R mx.mlp

[ https://issues.apache.org/jira/browse/MXNET-634?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya reassigned MXNET-634: - Assignee: (was: Anirudh Acharya) > Fix eval_metric to eval.metric in R mx.mlp >

[jira] [Updated] (MXNET-639) Fix sample.multinomial API

[ https://issues.apache.org/jira/browse/MXNET-639?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-639: -- Sprint: Apache Sprint 7 > Fix sample.multinomial API > -- > >

[jira] [Assigned] (MXNET-639) Fix sample.multinomial API

[ https://issues.apache.org/jira/browse/MXNET-639?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya reassigned MXNET-639: - Assignee: Anirudh Acharya > Fix sample.multinomial API > -- > >

[jira] [Updated] (MXNET-630) R Linux GPU Installation

[ https://issues.apache.org/jira/browse/MXNET-630?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-630: -- Status: Done (was: In Review) > R Linux GPU Installation > > >

[jira] [Updated] (MXNET-627) R Linux CPU installation Fix

[ https://issues.apache.org/jira/browse/MXNET-627?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-627: -- Status: Done (was: In Review) > R Linux CPU installation Fix > >

[jira] [Updated] (MXNET-628) Fix LSTM Bucketing example

[ https://issues.apache.org/jira/browse/MXNET-628?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-628: -- Priority: Critical (was: Major) > Fix LSTM Bucketing example > -- > >

[jira] [Updated] (MXNET-638) How to train with Input Dropout Layer in MXNet R

[ https://issues.apache.org/jira/browse/MXNET-638?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-638: -- Priority: Critical (was: Major) > How to train with Input Dropout Layer in MXNet R >

[jira] [Updated] (MXNET-633) Fix the begin_round for epochs while training in R

[ https://issues.apache.org/jira/browse/MXNET-633?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-633: -- Priority: Major (was: Critical) > Fix the begin_round for epochs while training in R >

[jira] [Updated] (MXNET-640) Fix mx.set.seed while training on GPU

[ https://issues.apache.org/jira/browse/MXNET-640?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-640: -- Priority: Critical (was: Major) > Fix mx.set.seed while training on GPU >

[jira] [Updated] (MXNET-633) Fix the begin_round for epochs while training in R

[ https://issues.apache.org/jira/browse/MXNET-633?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-633: -- Priority: Critical (was: Major) > Fix the begin_round for epochs while training in R >

[jira] [Updated] (MXNET-639) Fix sample.multinomial API

[ https://issues.apache.org/jira/browse/MXNET-639?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-639: -- Priority: Critical (was: Major) > Fix sample.multinomial API > -- > >

[jira] [Updated] (MXNET-634) Fix eval_metric to eval.metric in R mx.mlp

[ https://issues.apache.org/jira/browse/MXNET-634?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-634: -- Summary: Fix eval_metric to eval.metric in R mx.mlp (was: Fix doc for eval_metric vs

[jira] [Updated] (MXNET-634) Fix doc for eval_metric vs eval.metric in R mx.mlp

[ https://issues.apache.org/jira/browse/MXNET-634?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-634: -- Issue Type: Bug (was: Sub-task) Parent: (was: MXNET-629) > Fix doc for eval_metric

[jira] [Assigned] (MXNET-638) How to train with Input Dropout Layer in MXNet R

[ https://issues.apache.org/jira/browse/MXNET-638?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya reassigned MXNET-638: - Assignee: Anirudh Acharya > How to train with Input Dropout Layer in MXNet R >

[jira] [Updated] (MXNET-638) Training with Input Dropout Layer

[ https://issues.apache.org/jira/browse/MXNET-638?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-638: -- Sprint: Apache Sprint 7 > Training with Input Dropout Layer > -

[jira] [Updated] (MXNET-638) How to train with Input Dropout Layer in MXNet R

[ https://issues.apache.org/jira/browse/MXNET-638?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-638: -- Summary: How to train with Input Dropout Layer in MXNet R (was: Training with Input Dropout

[jira] [Updated] (MXNET-631) Build binaries of R package for mac OS and R 3.5

[ https://issues.apache.org/jira/browse/MXNET-631?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-631: -- Status: Done (was: In Progress) > Build binaries of R package for mac OS and R 3.5 >

[jira] [Updated] (MXNET-634) Fix doc for eval_metric vs eval.metric in R mx.mlp

[ https://issues.apache.org/jira/browse/MXNET-634?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-634: -- Status: To Do (was: In Progress) > Fix doc for eval_metric vs eval.metric in R mx.mlp >

[jira] [Updated] (MXNET-628) Fix LSTM Bucketing example

[ https://issues.apache.org/jira/browse/MXNET-628?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-628: -- Status: To Do (was: In Progress) > Fix LSTM Bucketing example > -- > >

[jira] [Updated] (MXNET-629) R Installation and Documentation Issues

[ https://issues.apache.org/jira/browse/MXNET-629?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-629: -- Status: In Progress (was: To Do) > R Installation and Documentation Issues >

[jira] [Updated] (MXNET-634) Fix doc for eval_metric vs eval.metric in R mx.mlp

[ https://issues.apache.org/jira/browse/MXNET-634?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-634: -- Assignee: Anirudh Acharya Status: In Progress (was: To Do) > Fix doc for eval_metric vs

[jira] [Updated] (MXNET-628) Fix LSTM Bucketing example

[ https://issues.apache.org/jira/browse/MXNET-628?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-628: -- Status: In Progress (was: To Do) > Fix LSTM Bucketing example > -- > >

[jira] [Updated] (MXNET-641) R bindings installation on Windows CPU

[ https://issues.apache.org/jira/browse/MXNET-641?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-641: -- Assignee: Anirudh Acharya (was: Ankit Khedia) Status: In Progress (was: To Do) > R

[jira] [Updated] (MXNET-628) Fix LSTM Bucketing example

[ https://issues.apache.org/jira/browse/MXNET-628?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-628: -- Sprint: Apache Sprint 7 > Fix LSTM Bucketing example > -- > >

[jira] [Updated] (MXNET-630) R Linux GPU Installation

[ https://issues.apache.org/jira/browse/MXNET-630?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-630: -- Status: In Review (was: In Progress) > R Linux GPU Installation > > >

[jira] [Updated] (MXNET-630) R Linux GPU Installation

[ https://issues.apache.org/jira/browse/MXNET-630?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-630: -- Status: In Progress (was: To Do) > R Linux GPU Installation > > >

[jira] [Updated] (MXNET-631) Build binaries of R package for mac OS and R 3.5

[ https://issues.apache.org/jira/browse/MXNET-631?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-631: -- Status: In Progress (was: To Do) > Build binaries of R package for mac OS and R 3.5 >

[jira] [Updated] (MXNET-297) Add updated R docs

[ https://issues.apache.org/jira/browse/MXNET-297?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-297: -- Resolution: Fixed Status: Done (was: To Do) > Add updated R docs > --

[jira] [Updated] (MXNET-121) ONNX Import module

[ https://issues.apache.org/jira/browse/MXNET-121?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-121: -- Resolution: Fixed Status: Done (was: To Do) > ONNX Import module > --

[jira] [Assigned] (MXNET-121) ONNX Import module

[ https://issues.apache.org/jira/browse/MXNET-121?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya reassigned MXNET-121: - Assignee: Anirudh Acharya > ONNX Import module > -- > >

[jira] [Assigned] (MXNET-110) Docs Page for Onnx_Mxnet module

[ https://issues.apache.org/jira/browse/MXNET-110?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya reassigned MXNET-110: - Assignee: Anirudh Acharya > Docs Page for Onnx_Mxnet module >

[jira] [Updated] (MXNET-110) Docs Page for Onnx_Mxnet module

[ https://issues.apache.org/jira/browse/MXNET-110?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-110: -- Resolution: Fixed Status: Done (was: To Do) > Docs Page for Onnx_Mxnet module >

[jira] [Updated] (MXNET-395) Reshape Operator design change

[ https://issues.apache.org/jira/browse/MXNET-395?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-395: -- Priority: Minor (was: Major) > Reshape Operator design change > --

[jira] [Updated] (MXNET-636) R crashes while training/transfer-learning with vgg16

[ https://issues.apache.org/jira/browse/MXNET-636?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-636: -- Summary: R crashes while training/transfer-learning with vgg16 (was: R crashes while transfer

[jira] [Assigned] (MXNET-642) R bindings installation on Windows GPU

[ https://issues.apache.org/jira/browse/MXNET-642?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya reassigned MXNET-642: - Assignee: Ankit Khedia > R bindings installation on Windows GPU >

[jira] [Assigned] (MXNET-641) R bindings installation on Windows CPU

[ https://issues.apache.org/jira/browse/MXNET-641?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya reassigned MXNET-641: - Assignee: Anirudh Acharya > R bindings installation on Windows CPU >

[jira] [Assigned] (MXNET-641) R bindings installation on Windows CPU

[ https://issues.apache.org/jira/browse/MXNET-641?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya reassigned MXNET-641: - Assignee: Ankit Khedia (was: Anirudh Acharya) > R bindings installation on Windows CPU

[jira] [Created] (MXNET-642) R bindings installation on Windows GPU

Anirudh Acharya created MXNET-642: - Summary: R bindings installation on Windows GPU Key: MXNET-642 URL: https://issues.apache.org/jira/browse/MXNET-642 Project: Apache MXNet Issue Type:

[jira] [Created] (MXNET-641) R bindings installation on Windows CPU

Anirudh Acharya created MXNET-641: - Summary: R bindings installation on Windows CPU Key: MXNET-641 URL: https://issues.apache.org/jira/browse/MXNET-641 Project: Apache MXNet Issue Type:

[jira] [Updated] (MXNET-633) Fix the begin_round for epochs while training in R

[ https://issues.apache.org/jira/browse/MXNET-633?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anirudh Acharya updated MXNET-633: -- Issue Type: Bug (was: Story) > Fix the begin_round for epochs while training in R >

[jira] [Created] (MXNET-640) Fix mx.set.seed while training on GPU

Anirudh Acharya created MXNET-640: - Summary: Fix mx.set.seed while training on GPU Key: MXNET-640 URL: https://issues.apache.org/jira/browse/MXNET-640 Project: Apache MXNet Issue Type: Bug

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