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https://issues.apache.org/jira/browse/INCUBATOR-253?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17172716#comment-17172716
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Henri Yandell commented on INCUBATOR-253:
-----------------------------------------

Noting that the DJL project have updated their language with regards to Apache 
MXNet, covering point 19.

The DJL package naming in point 17 is referential, it's their (ai.djl)'s 
implementation of a provider for mxnet.

> Issues with MXNet releases and their distribution
> -------------------------------------------------
>
>                 Key: INCUBATOR-253
>                 URL: https://issues.apache.org/jira/browse/INCUBATOR-253
>             Project: Incubator
>          Issue Type: Improvement
>            Reporter: Justin Mclean
>            Assignee: Justin Mclean
>            Priority: Major
>
> The main issues are:
> 1. Source and convenance binary releases containing Category X licensed code.
> 2. Website giving access to downloads of non released/unapproved code.
> 3. Website giving access to releases containing Category X licensed code.
> 4. Web site doesn't given enough warning to users of the issues with non 
> (P)PMC releases or making it clear that these are not ASF releases.
> 5. Maven releases containing Category X licensed code.
> 6. PiPy releases containing Category X licensed code.
> 7. Docker releases containing Category X licensed code.
> 8 Docker releases containing unreleased/unapproved code.
> 9. Trademark and branding issues with PiPy and Docker releases. 
> 10. Trademark and brand issues with naming of releases. 
> 11. Developer releases available to users and public searchable 
> https://repo.mxnet.io / https://dist.mxnet.io
> 12. Releases and other nightly builds on https://repo.mxnet.io / 
> https://dist.mxnet.io containing category X licensed code.
> 13. Lack of clarity on all platforms for what is an ASF release and what is 
> not.
> 14. Branding and release of 3rd parties containing unreleased code. (e.g. 
> https://docs.nvidia.com/deeplearning/frameworks/mxnet-release-notes/rel_20-03.html)
> For PiPy see:
> https://pypi.org/project/mxnet/
> For Docker see:
> https://hub.docker.com/u/mxnet
> For web site pages see:
> https://mxnet.apache.org/get_started?
> https://mxnet.apache.org/get_started/download
> I may of missed something, if so please add it.



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