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From Suneel Marthi <smar...@apache.org>
Subject Re: Board report due
Date Wed, 05 Jul 2017 14:24:09 GMT
Dom,

Its much easier to comment/modify if u created a google doc and send a
editable link out. Please do that.

On Tue, Jul 4, 2017 at 6:06 PM, Dominic Divakaruni <
dominic.divakaruni@gmail.com> wrote:

> Hello all,
> Hope those of us in the US are having a great 4th of July! I've taken a
> stab at a draft of the report. Section 6 needs to be updated. Please pitch
> in with your updates
>
> 1.     Your project name: Apache MXNet
>
>
>
> 2.     A brief description of your project, which assumes no knowledge of
> the project or necessarily of its field: MXNet is an open-source deep
> learning framework that allows you to define, train, and deploy deep neural
> networks on a wide array of devices, from cloud infrastructure to mobile
> devices. It is highly scalable, allowing for fast model training, and
> supports a flexible programming model and multiple languages. MXNet allows
> you to mix symbolic and imperative programming flavors to maximize both
> efficiency and productivity. MXNet is built on a dynamic dependency
> scheduler that automatically parallelizes both symbolic and imperative
> operations on the fly. A graph optimization layer on top of that makes
> symbolic execution fast and memory efficient. The MXNet library is portable
> and lightweight, and it scales to multiple GPUs and multiple machines.
>
> 3.     A list of the three most important issues to address in the move
> towards graduation.
>
> 3.1.  Migrate code (GitHub) and website to Apache.
>
> 3.2.  Grow the community:
>
> 3.2.1.     Expand reference material including – new machine learning
> research published based on MXNet, tutorials, documented use cases and
> architecture documentation.
>
> 3.2.2.     Improving user-experience –for example improved error messages
>
> 3.2.3.     Improved support for various programming languages
>
> 3.2.4.     Establish a dependable, Apache-way consistent release process.
>
> 3.3.  Features:
>
> 3.3.1.     Capability (such as low precision support and quantization) that
> allows models to run efficiently on mobile and edge devices. Integrations
> with mobile and edge device acceleration drivers.
>
> 3.3.2.     Accelerate performance on CPUs and GPUs.
>
>
>
> 4.     Any issues that the Incubator PMC or ASF Board might wish/need to be
> aware of:
>
> None.
>
>
>
> 5.     How has the community developed since the last report.
>
> 5.1.  On 5/27 MXNet published a comprehensive edit and makeover of the
> documentation including tutorials, how-to’s, APIs and architecture guides.
> This was a broad effort that involved over 40 contributors.
>
> 5.2.  The PMC voted in a new contributor who has been helping with the code
> migration and setup of the test infrastructure. We are making slow but
> steady progress towards getting the GitHub code migrated. The target date
> for migration is 7/17. Website migration will happen next.
>
> 5.3.  Slack and dev@ are being used more actively.
>
> 6.     How has the project developed since the last report.
>
> 6.1.  Since the last report 42 authors have pushed 326 commits to master.
>
> 6.2.  (Previous Update)  On master, 502 files have changed and there have
> been 26,246 additions and 12,188 deletions. Count of Closed Issues = 62,
> Count of new Issues = 146, Count of Merged Pull Requests = 161, Count of
> Proposed Pull Requests = 27.
>
> 6.3.  (Previous Update) The API Documentation has improved.
>
> 6.4.  (Previous Update) More features (e.g. operators) requested by the
> user community has been added.
>
> 6.5.  (Previous update) Hardware acceleration like cuDDN6 integration and
> MKL ML package integration was completed.
>
> 6.6.  (Previous Update) A new Perl language binding for MXNet was added.
>
>
>
> 7.     How does the podling rate their own maturity: Maturity = Low.
>
>
> On Mon, Jul 3, 2017 at 11:39 PM, Henri Yandell <bayard@apache.org> wrote:
>
> > In case the relentless automated pinging hasn't given it away, we've a
> > board report due.
> >
> > Hen
> >
>
>
>
> --
>
>
> Dominic Divakaruni
> 206.475.9200 Cell
>

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