I did some homework and stumbled across something that changed my view of
where machine learning libraries are headed:

https://github.com/tensorflow/swift/blob/master/docs/WhySwiftForTensorFlow.md

Google & Apple are building first-class support for Tensorflow right into
the Swift language. They chose Swift very carefully, and while they noted
Rust is a great choice for lots of reasons, the learning curve of the
language is too steep... It seems like Rust isn't going to get much love
from the ML community in the places that matter.

I also see that as of writing this, the Rust crate for Tensorflow has only
~10,000 lifetime downloads, which is pretty low considering how much effort
the client library required. So the existing set of practitioners in the
language is very small, and it's unlikely to grow.

Also, the benefits of Rust memory safety and ownership won't really be
realized via a client library that uses FFI on a C API.

I'm not going to move forward with this client lib. I'll check back here in
the future and see if there's any activity... In the meantime, if someone
stumbles across this in the future and wants to pick it up, don't let me
stand in the way!

- Zach


On Wed, Jan 30, 2019 at 11:16 PM Zach Boldyga <z...@scalabull.com> wrote:

> Rad, thanks for the input everyone!
>
> I'm anticipating some friction with using FFI with the C API since it's
> considered unsafe in Rust; difficulty of integrating will depend on the
> nuances of the C API as HY mentioned...
>
> Going to go ahead and dive in. Will be back eventually for feedback /
> input!
>
> Zach Boldyga
> Scalabull  |  Founder
> 1 (866) 846-8771 x 101
>
>
> On Wed, Jan 30, 2019 at 12:02 AM HY Chen <chenhy12...@gmail.com> wrote:
>
>> I have tried to create a a module via existing rust FFI generators but
>> failed. It seems like you have to think a lot more than just translate the
>> C api to make it work. It's better understand the C API first and make
>> sure
>> it won't introduce new problems in rust.
>>
>> HY
>>
>> Pedro Larroy <pedro.larroy.li...@gmail.com> 于2019年1月30日周三 上午4:35写道:
>>
>> > I have been thinking about this and I find really exciting to have
>> > Rust bindings and bring a powerful framework like MXNet to the Rust
>> > community and to native applications in a convenient Rust crate. I
>> > would love to see this happen. I think basically MXNet needs to be
>> > wrapped in a Rust crate via FFI / C Bindings.
>> >
>> > Pedro.
>> >
>> > On Tue, Jan 29, 2019 at 11:05 AM Zach Boldyga <z...@scalabull.com>
>> wrote:
>> > >
>> > > Hey y'all!
>> > >
>> > > I'm thinking about spending this week working on a rust client lib for
>> > > MXNet. saw a little bit of chatter about this in the github issues
>> and no
>> > > strong existing crates at the moment. Any pointers on approaching this
>> > in a
>> > > way that will lead to it being adopted as an officially supported
>> client
>> > > library? And overall yay/nay on whether adding a Rust lib makes sense
>> &
>> > why
>> > > / why not?
>> > >
>> > > Zach Boldyga
>> > > Scalabull  |  Founder
>> > > 1 (866) 846-8771 x 101
>> >
>>
>

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