Hi -

Sent from my iPhone

> On Aug 4, 2020, at 8:01 PM, Justin Mclean <jus...@classsoftware.com> wrote:
> 
> Hi,
> 
>> 1.  Change all MXNet to Apache MXNet (incubating) from documentation where 
>> it necessary
>> 2.  Change maven package description ” MXNet Engine Adapter for DJL” to  
>> "Deep Java Library (DJL) Engine Adapter for Apache MXNet" for clarification
> 
> Thanks for doing that. ASF generally prefers “powdered by” so I would double 
> check with trademarks (trademarks@a.o) if this is acceptable use. [1]

That’s “Powered by”, but “for” can also be acceptable. Agreed that trademark@ 
is the place for the PPMC to ask.

Regards,
Dave

> 
>> For [3], this package contains no source code from Apache MXNet and only 
>> contains the binary that built from source through the Apache MXNet source 
>> code without modification. It also brought necessary License and binary 
>> attribution from Apache MXNet.
> 
> I still have some concerns here’s for instance is a page [2] that says:
>    • The binaries are built from source from Apache MXNet without 
> modification.
>    • The binaries are obtained from the Apache MXNet python pip wheel.
> 
> The issue here is those pip “releases" contain unreleased versions of Apache 
> MxNet [2] and probably should not have been released by the MXNet project and 
> shouldn’t be used by the general public. [4] ("must not be distributed 
> through channels which encourage use by anyone outside the project 
> development community”)
> 
> There is currently a draft policy on downstream distribution [5] but I don’t 
> think it covers this situation. Now I would agree that the ALv2 allow you to 
> use Apache MXNet code, even if it is unreleased, but I’m not sure if you can 
> say the the resulting product is “for MXNet". That may be need a discussion 
> on the legal@a.o or trademarks@a.o lists.
> 
> And to be clear this is not really a DJL issue at this point, it's more an 
> issue for the PPMC of MXNet to sort out.
> 
> Thanks,
> Justin
> 
> 1. https://www.apache.org/foundation/marks/faq/#products
> 2. https://djl.ai/mxnet/native/
> 3. https://pypi.org/project/mxnet/#history
> 4. https://infra.apache.org/release-distribution#unreleased
> 5. http://www.apache.org/foundation/marks/downstream.html
> 
> 
> 
> 
> 
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