Feedback to the plan for Torch integration to ML.NET

[GeorgeS2019]

TorchSharp integration to ML.NETis currently being planned (supervised by @ericstj ) as recently shared/discussed by @NiklasGustafsson

I suggest TorchSharp users provide feedback to the integration process here.

As part of the integration, the question how to consume exported Torch model by ML.NET has been planned.

I also would like to raise some issues raised before related to the above.

• Will there be an improvement in how TorchSharp consume Torch model created in python. Currently we need an additional python script to create a TorchSharp compatible model in python. Is there a plan soon that this additional step will be removed, perhaps as part of the ML.NET integration planning process?
• There are challenges dealing with ONNX, especially when dealing with NLP use cases (e.g. ref 1, ref 2). Is there a plan to consider incorporating ONNX save and load features in TorchSharp? By having Onnx save/load in TorchSharp, this provides an alternative path to the existing option to import ONNX to ML.NET

[ericstj]

cc @michaelgsharp @briacht
At the moment we're still trying to understand what this work would look like. Thanks for raising concerns and we'll make sure to stay engaged in the discussion.

[GeorgeS2019]

FYI: latest plan for Deep learning and TorchSharp integration to ML.NET!!!