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Lin Yuan updated MXNET-573:
---
Story Points: 8 (was: 88)
> gradcheck for Gluon and NDArray
> ---
>
>
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Lin Yuan updated MXNET-576:
---
Story Points: 5
> Symbolic .json file not compatible with .params file generated since MXNet 1.2
>
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Lin Yuan updated MXNET-579:
---
Story Points: 5
> Gluon raises error if the user does not call nd.waitall()
>
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Lin Yuan updated MXNET-580:
---
Story Points: 8
> As a user, I would like to know how to implement SN-GAN in gluon
>
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Lin Yuan updated MXNET-581:
---
Story Points: 5
> As a user, I would like to have a tutorial to use Custom Loss and Custom
> Callback in
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Lin Yuan updated MXNET-568:
---
Epic Colour: ghx-label-5 (was: ghx-label-4)
> Gluon Usability Enhancement
> ---
>
>
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Lin Yuan updated MXNET-568:
---
Epic Colour: ghx-label-2 (was: ghx-label-5)
> Gluon Usability Enhancement
> ---
>
>
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Lin Yuan updated MXNET-568:
---
Epic Colour: ghx-label-4 (was: ghx-label-2)
> Gluon Usability Enhancement
> ---
>
>
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Lin Yuan updated MXNET-568:
---
Epic Colour: ghx-label-2 (was: ghx-label-8)
> Gluon Usability Enhancement
> ---
>
>
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https://issues.apache.org/jira/browse/MXNET-586?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Lin Yuan updated MXNET-586:
---
Story Points: 21
> As a user, I would like to know how to do transfer learning using Gluon
>
[
https://issues.apache.org/jira/browse/MXNET-587?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Lin Yuan updated MXNET-587:
---
Story Points: 13
> Improve Gluon Performance and memory conumption
>
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https://issues.apache.org/jira/browse/MXNET-585?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Lin Yuan updated MXNET-585:
---
Story Points: 13
> As a developer, I would like to survey other competitors on the usability and
>
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https://issues.apache.org/jira/browse/MXNET-571?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Lin Yuan updated MXNET-571:
---
Story Points: 8
> As a user, I would like SoftmaxCrossEntropyLoss operator to have ignore
> labels option
>
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Lin Yuan updated MXNET-573:
---
Story Points: 88
> gradcheck for Gluon and NDArray
> ---
>
> Key:
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Lin Yuan updated MXNET-570:
---
Story Points: 5
> As a user, I would like to have an arg_scope function in tf.slim
>
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https://issues.apache.org/jira/browse/MXNET-572?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Lin Yuan updated MXNET-572:
---
Story Points: 8
> Add MaxUppooling in Gluon
> -
>
> Key: MXNET-572
>
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https://issues.apache.org/jira/browse/MXNET-578?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Lin Yuan updated MXNET-578:
---
Story Points: 8
> 3D dilation support not working
> ---
>
> Key:
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Lin Yuan updated MXNET-577:
---
Story Points: 5
> Crash while running gluon image-classification.py example with float16
>
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Lin Yuan updated MXNET-574:
---
Story Points: 5
> As a user, I would like to extend the DataIter to a video reader
>
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https://issues.apache.org/jira/browse/MXNET-569?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Lin Yuan updated MXNET-569:
---
Story Points: 5
> As a user, I would like to be able to initialize parameter of SymbolBlock
>
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https://issues.apache.org/jira/browse/MXNET-597?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Lin Yuan updated MXNET-597:
---
Story Points: 13
> As a user, I would like to be able to use Numpy arrays in Gluon
>
[
https://issues.apache.org/jira/browse/MXNET-596?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Lin Yuan updated MXNET-596:
---
Story Points: 5
> As a user, I would like to call data() on parameters initialized on multiple
> GPUs
>
[
https://issues.apache.org/jira/browse/MXNET-598?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Lin Yuan updated MXNET-598:
---
Story Points: 13
> As a user, I would like to use a simple fit() method to train my model in
> Gluon
>
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https://issues.apache.org/jira/browse/MXNET-583?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Lin Yuan updated MXNET-583:
---
Story Points: 5
> As a user, I would like to have a cheatcheet to use Gluon quickly
>
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https://issues.apache.org/jira/browse/MXNET-569?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Lin Yuan updated MXNET-569:
---
Component/s: Gluon
> As a user, I would like to be able to initialize parameter of SymbolBlock
>
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https://issues.apache.org/jira/browse/MXNET-570?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Lin Yuan updated MXNET-570:
---
Issue Type: Story (was: New Feature)
> As a user, I would like to have an arg_scope function in tf.slim
>
Lin Yuan created MXNET-578:
--
Summary: 3D dilation support not working
Key: MXNET-578
URL: https://issues.apache.org/jira/browse/MXNET-578
Project: Apache MXNet
Issue Type: Bug
Reporter:
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Lin Yuan updated MXNET-581:
---
Description:
Acceptance Criteria
- Tutorial to use Custom Loss and Custom Callback in Gluon.
- Identify
[
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Lin Yuan updated MXNET-581:
---
Description:
*Acceptance Criteria*
- Tutorial to use Custom Loss and Custom Callback in Gluon.
- Identify
[
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Lin Yuan updated MXNET-583:
---
Description:
*Acceptance Criteria*
Running document with issue/workaround. We will seed it initially with Q/A
Lin Yuan created MXNET-569:
--
Summary: As a user, I would like to be able to initialize
parameter of SymbolBlock
Key: MXNET-569
URL: https://issues.apache.org/jira/browse/MXNET-569
Project: Apache MXNet
Lin Yuan created MXNET-572:
--
Summary: Add MaxUppooling in Gluon
Key: MXNET-572
URL: https://issues.apache.org/jira/browse/MXNET-572
Project: Apache MXNet
Issue Type: New Feature
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Lin Yuan updated MXNET-569:
---
Summary: As a user, I would like to be able to initialize parameter of
SymbolBlock (was: [Feature] As a
Lin Yuan created MXNET-574:
--
Summary: As a user, I would like to extend the DataIter to a video
reader
Key: MXNET-574
URL: https://issues.apache.org/jira/browse/MXNET-574
Project: Apache MXNet
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https://issues.apache.org/jira/browse/MXNET-572?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Lin Yuan updated MXNET-572:
---
Summary: [Feature] (was: Add MaxUppooling in Gluon)
> [Feature]
> --
>
> Key:
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Lin Yuan updated MXNET-572:
---
Summary: [Feature] Add MaxUppooling in Gluon (was: [Feature] )
> [Feature] Add MaxUppooling in Gluon
>
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https://issues.apache.org/jira/browse/MXNET-571?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Lin Yuan updated MXNET-571:
---
Issue Type: Story (was: New Feature)
> As a user, I would like SoftmaxCrossEntropyLoss operator to have
[
https://issues.apache.org/jira/browse/MXNET-570?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Lin Yuan updated MXNET-570:
---
Summary: [Feature] As a user, I would like to have an arg_scope function in
tf.slim (was: As a user, I would
Lin Yuan created MXNET-573:
--
Summary: [Feature] gradcheck for Gluon and NDArray
Key: MXNET-573
URL: https://issues.apache.org/jira/browse/MXNET-573
Project: Apache MXNet
Issue Type: New Feature
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https://issues.apache.org/jira/browse/MXNET-572?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Lin Yuan updated MXNET-572:
---
Summary: Add MaxUppooling in Gluon (was: [Feature] Add MaxUppooling in
Gluon)
> Add MaxUppooling in Gluon
>
[
https://issues.apache.org/jira/browse/MXNET-570?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Lin Yuan updated MXNET-570:
---
Summary: As a user, I would like to have an arg_scope function in tf.slim
(was: [Feature] As a user, I would
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Lin Yuan updated MXNET-581:
---
Description: Identify any gaps for the development.
> As a user, I would like to have a tutorial to use
Lin Yuan created MXNET-581:
--
Summary: As a user, I would like to have a tutorial to use Custom
Loss and Custom Callback in Gluon
Key: MXNET-581
URL: https://issues.apache.org/jira/browse/MXNET-581
Project:
Lin Yuan created MXNET-587:
--
Summary: Improve Gluon Performance and memory conumption
Key: MXNET-587
URL: https://issues.apache.org/jira/browse/MXNET-587
Project: Apache MXNet
Issue Type:
Lin Yuan created MXNET-586:
--
Summary: As a user, I would like to know how to do transfer
learning using Gluon
Key: MXNET-586
URL: https://issues.apache.org/jira/browse/MXNET-586
Project: Apache MXNet
Lin Yuan created MXNET-570:
--
Summary: As a user, I would like to have an arg_scope function in
tf.slim
Key: MXNET-570
URL: https://issues.apache.org/jira/browse/MXNET-570
Project: Apache MXNet
Lin Yuan created MXNET-576:
--
Summary: Symbolic .json file not compatible with .params file
generated since MXNet 1.2
Key: MXNET-576
URL: https://issues.apache.org/jira/browse/MXNET-576
Project: Apache MXNet
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https://issues.apache.org/jira/browse/MXNET-577?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Lin Yuan updated MXNET-577:
---
Summary: Crash while running gluon image-classification.py example with
float16 (was: Symbolic .json file
Lin Yuan created MXNET-577:
--
Summary: Symbolic .json file not compatible with .params file
generated since MXNet 1.2
Key: MXNET-577
URL: https://issues.apache.org/jira/browse/MXNET-577
Project: Apache MXNet
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https://issues.apache.org/jira/browse/MXNET-571?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Lin Yuan updated MXNET-571:
---
Summary: As a user, I would like SoftmaxCrossEntropyLoss operator to have
ignore labels option (was:
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Lin Yuan updated MXNET-573:
---
Summary: gradcheck for Gluon and NDArray (was: [Feature] gradcheck for
Gluon and NDArray)
> gradcheck for
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Lin Yuan updated MXNET-581:
---
Description:
*Acceptance Criteria
- Tutorial to use Custom Loss and Custom Callback in Gluon.
- Identify
[
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Lin Yuan updated MXNET-581:
---
Description:
**Acceptance Criteria
- Tutorial to use Custom Loss and Custom Callback in Gluon.
- Identify
[
https://issues.apache.org/jira/browse/MXNET-584?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Lin Yuan updated MXNET-584:
---
Description:
*Acceptance Criteria*
- Run through how to questions
- fix or root cause the issues.
- Bring
Lin Yuan created MXNET-583:
--
Summary: As a user, I would like to have a cheatcheet to use Gluon
quickly
Key: MXNET-583
URL: https://issues.apache.org/jira/browse/MXNET-583
Project: Apache MXNet
Lin Yuan created MXNET-584:
--
Summary: Bring the how to questions on Gluon in Github issues to
<5.
Key: MXNET-584
URL: https://issues.apache.org/jira/browse/MXNET-584
Project: Apache MXNet
Issue
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Lin Yuan updated MXNET-571:
---
Summary: [Feature] As a user, I would like SoftmaxCrossEntropyLoss operator
to have ignore labels option
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https://issues.apache.org/jira/browse/MXNET-569?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Lin Yuan updated MXNET-569:
---
Issue Type: Story (was: New Feature)
> As a user, I would like to be able to initialize parameter of
Lin Yuan created MXNET-571:
--
Summary: As a user, I would like SoftmaxCrossEntropyLoss operator
to have ignore labels option
Key: MXNET-571
URL: https://issues.apache.org/jira/browse/MXNET-571
Project:
Lin Yuan created MXNET-580:
--
Summary: As a user, I would like to know how to implement SN-GAN
in gluon
Key: MXNET-580
URL: https://issues.apache.org/jira/browse/MXNET-580
Project: Apache MXNet
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https://issues.apache.org/jira/browse/MXNET-585?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Lin Yuan updated MXNET-585:
---
Description:
*Acceptance Criteria*
Summarizing the missing functionalities of Gluon in the following
Lin Yuan created MXNET-585:
--
Summary: As a developer, I would like to survey other competitors
on the usability and functinoality
Key: MXNET-585
URL: https://issues.apache.org/jira/browse/MXNET-585
Project:
Lin Yuan created MXNET-568:
--
Summary: Gluon Usability Enhancement
Key: MXNET-568
URL: https://issues.apache.org/jira/browse/MXNET-568
Project: Apache MXNet
Issue Type: Epic
Reporter:
Lin Yuan created MXNET-560:
--
Summary: Adding a temperature parameter in Softmax and
SoftmaxOutput operator
Key: MXNET-560
URL: https://issues.apache.org/jira/browse/MXNET-560
Project: Apache MXNet
Lin Yuan created MXNET-598:
--
Summary: As a user, I would like to use a simple fit() method to
train my model in Gluon
Key: MXNET-598
URL: https://issues.apache.org/jira/browse/MXNET-598
Project: Apache
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Lin Yuan updated MXNET-597:
---
Description:
*Acceptance Criteria*
Adding built-in support for numpy arrays in Gluon (converting to NDArray
Lin Yuan created MXNET-597:
--
Summary: As a user, I would like to be able to use Numpy arrays in
Gluon
Key: MXNET-597
URL: https://issues.apache.org/jira/browse/MXNET-597
Project: Apache MXNet
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Lin Yuan updated MXNET-598:
---
Description:
*Acceptance Criteria*
Implementing a simple model.fit to remove the need to write the manual
Lin Yuan created MXNET-596:
--
Summary: As a user, I would like to call data() on parameters
initialized on multiple GPUs
Key: MXNET-596
URL: https://issues.apache.org/jira/browse/MXNET-596
Project: Apache
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Lin Yuan updated MXNET-596:
---
Issue Type: Story (was: New Feature)
> As a user, I would like to call data() on parameters initialized on
[
https://issues.apache.org/jira/browse/MXNET-770?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Lin Yuan reassigned MXNET-770:
--
Assignee: Lin Yuan
> Fix flaky test in test_module.py
>
>
>
Lin Yuan created MXNET-770:
--
Summary: Fix flaky test in test_module.py
Key: MXNET-770
URL: https://issues.apache.org/jira/browse/MXNET-770
Project: Apache MXNet
Issue Type: Bug
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https://issues.apache.org/jira/browse/MXNET-708?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16564201#comment-16564201
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Lin Yuan commented on MXNET-708:
Current CI does not run on MacOS platform.
> Add mxnet-to-coreml
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Lin Yuan commented on MXNET-707:
PR is under review: https://github.com/apache/incubator-mxnet/pull/11952
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Lin Yuan updated MXNET-770:
---
Resolution: Fixed
Status: Done (was: To Do)
> Fix flaky test in test_module.py
>
Lin Yuan created MXNET-777:
--
Summary: Operator improvements to increase coverage
Key: MXNET-777
URL: https://issues.apache.org/jira/browse/MXNET-777
Project: Apache MXNet
Issue Type: Epic
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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 reassigned MXNET-799:
--
Assignee: Lin Yuan
> Gradient function not returning enough gradient
>
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Lin Yuan updated MXNET-799:
---
Story Points: 5
> Gradient function not returning enough gradient
>
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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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Lin Yuan updated MXNET-801:
---
Sprint: Carl Friedrich Gauss
> non-deterministic backward of scatter_nd
>
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https://issues.apache.org/jira/browse/MXNET-805?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Lin Yuan updated MXNET-805:
---
Story Points: 5
> mx.nd.topk does not work with ndarray of type float16
>
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https://issues.apache.org/jira/browse/MXNET-797?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Lin Yuan reassigned MXNET-797:
--
Assignee: Lin Yuan
> Prelu activation compution fault in expand_shape function
>
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https://issues.apache.org/jira/browse/MXNET-810?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Lin Yuan reassigned MXNET-810:
--
Assignee: Haibin Lin
> src/operator/./bilinear_sampler-inl.h:105: Have not implemented the data req
>
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Lin Yuan reassigned MXNET-812:
--
Assignee: Sam Skalicky
> different behaviour of customop in latest MXNet
>
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https://issues.apache.org/jira/browse/MXNET-815?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Lin Yuan reassigned MXNET-815:
--
Assignee: Alexander
> softrelu activation clipping bug in MKLDNN
>
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Lin Yuan reassigned MXNET-814:
--
Assignee: Hao Jin
> Call symbol/nd.smooth_l1 without scalar causing uncaught exception
>
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Lin Yuan reassigned MXNET-801:
--
Assignee: Hao Jin
> non-deterministic backward of scatter_nd
>
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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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Lin Yuan updated MXNET-803:
---
Sprint: Carl Friedrich Gauss
> Inconsistent / wrong output from sum
>
>
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Lin Yuan reassigned MXNET-802:
--
Assignee: Hao Jin
> Autograd fails when using `take` operator repeatedly
>
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https://issues.apache.org/jira/browse/MXNET-806?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Lin Yuan reassigned MXNET-806:
--
Assignee: Lin Yuan
> Undefined Behavior of mx.sym.where with shape-mismatched cond
>
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https://issues.apache.org/jira/browse/MXNET-806?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Lin Yuan updated MXNET-806:
---
Sprint: Carl Friedrich Gauss
> Undefined Behavior of mx.sym.where with shape-mismatched cond
>
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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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Lin Yuan updated MXNET-802:
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Story Points: 1
> Autograd fails when using `take` operator repeatedly
>
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https://issues.apache.org/jira/browse/MXNET-805?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Lin Yuan reassigned MXNET-805:
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Assignee: Sam Skalicky
> mx.nd.topk does not work with ndarray of type float16
>
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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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Lin Yuan updated MXNET-803:
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Story Points: 1
> Inconsistent / wrong output from sum
>
>
>
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https://issues.apache.org/jira/browse/MXNET-805?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Lin Yuan updated MXNET-805:
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Sprint: Carl Friedrich Gauss
> mx.nd.topk does not work with ndarray of type float16
>
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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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Lin Yuan updated MXNET-811:
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Sprint: Carl Friedrich Gauss
> test_arange failure - Jetson TX2 (CPU)
>
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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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Lin Yuan updated MXNET-811:
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Story Points: 1
> test_arange failure - Jetson TX2 (CPU)
> --
>
>
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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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Lin Yuan reassigned MXNET-811:
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Assignee: Hao Jin
> test_arange failure - Jetson TX2 (CPU)
> --
>
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https://issues.apache.org/jira/browse/MXNET-792?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Lin Yuan updated MXNET-792:
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Sprint: Carl Friedrich Gauss
> Dropout may mask values even when ratio=0.0
>
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https://issues.apache.org/jira/browse/MXNET-798?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Lin Yuan updated MXNET-798:
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Story Points: 1
> Dangling outputs and dtype != float32: Gradient computation fails
>
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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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Lin Yuan updated MXNET-786:
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Sprint: (was: Backend (08/13-08/27))
> Specify layer specific learning rate while training in R
>
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