Machinelearning: Support scoring on ARM

Created on 30 Nov 2018  路  6Comments  路  Source: dotnet/machinelearning

This issue is a concrete work item from question #1662.

Motivation:
We need ARM for scoring models on IoT devices and for mobile devices running Xamarin apps on iOS or Android. All those workloads are important for .NET.

enhancement

Most helpful comment

Hi, this would be a great addition / feature for mobile devices (Android & iOS), just imagined to be able to analysed input data/images on the device on the fly and offline. @CESARDELATORRE @jamesmontemagno

Thanks.

All 6 comments

Yep, ARM scoring would be great. I believe dotnet is working on something around it.

@codemzs - Why was this issue closed?
.NET already supports ARM such as on Xamarin apps for iOS and Android or on IoT ARM devices.

What's not supported is ML.NET on ARM.
ARM scoring would allow additional scenarios/environments for ML.NET hence increasing ML.NET usage, for instance:

POSSIBLE ENVIRONMENTS:

@CESARDELATORRE this is not something we are doing in the short term hence I鈥檓 closing this issue. Thanks!

Hi, this would be a great addition / feature for mobile devices (Android & iOS), just imagined to be able to analysed input data/images on the device on the fly and offline. @CESARDELATORRE @jamesmontemagno

Thanks.

It looks like we have to deploy MLNET on server using ASP.Net (Core!) and use HTTP service in Xamarin
Is there any better news?

I recently encountered a demand for this cross-platform application, and I look forward to an example

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