Lgtm Tao.
On Thu, Oct 10, 2019, 7:23 AM Tao Lv wrote:
> Okay, looks like there is no objections. I will send the announcement to
> announce@ and general@ soon.
>
> Thanks,
> -tao
>
> On Wed, Oct 9, 2019 at 10:35 AM Tao Lv wrote:
>
> > Dear community,
> >
> > This is to review the announcement
Okay, looks like there is no objections. I will send the announcement to
announce@ and general@ soon.
Thanks,
-tao
On Wed, Oct 9, 2019 at 10:35 AM Tao Lv wrote:
> Dear community,
>
> This is to review the announcement for 1.5.1 release according to the
> section 3.4 in release process.
>
> ===
Thanks to @nswamy for his inputs and design discussions related to this project
and @frankfliu for explaining the requirements and the use case from customer
perspective.
# Problem Statement
One of the big un-catered for use cases in MXNet is loading a model and being
able to run parallel
Thanks @marcoabreu !
> Will the new C-API functions be threadsafe in general? Speak, I can invoke
> them at any point in time from any thread without the need of a lock,
> sticky-thread or a thread hierarchy? (I'm thinking of the thread-safety being
> done on the backend level)
The issue I
Hi MXNet Community,
As the 1.5.1 patch release is done (many thanks Tao!), it is time to prepare
for the next minor release of MXNet - 1.6.0.
I (ptrendx@github / ptredak@mxnet Slack) would like to manage the release of
1.6.0. As it will be the first time for me to manage a release, Sam
Hi Przemek,
Thank you for volunteering!
I remember Jun (reminisce@github) has already been working on 1.6.0. You
might need check with him to avoid duplicate effort.
Thanks,
-tao
On Fri, Oct 11, 2019 at 8:00 AM Przemysław Trędak
wrote:
> Hi MXNet Community,
>
> As the 1.5.1 patch release is
Hi all,
The Apache MXNet (incubating) community is happy to announce Apache MXNet
(incubating) version 1.5.1!
Apache MXNet (incubating) is a deep learning framework designed for both
efficiency and flexibility. It allows you to mix symbolic and imperative
programming to maximize efficiency and
Thanks Tao,
I’m working closely with Jun to ensure the Numpy effort is included in the
release.
Sam
> On Oct 11, 2019, at 10:35 AM, Tao Lv wrote:
>
> Hi Przemek,
>
> Thank you for volunteering!
>
> I remember Jun (reminisce@github) has already been working on 1.6.0. You
> might need