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Does Executorch support on-device training/learning #4018

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knn1989 opened this issue Jun 20, 2024 · 4 comments
Open

Does Executorch support on-device training/learning #4018

knn1989 opened this issue Jun 20, 2024 · 4 comments
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@knn1989
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knn1989 commented Jun 20, 2024

Does Executorch support on-device training (online learning/model update on edge devices)? If yes, how to enable this? Thanks.

@guangy10
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This is one area the team is exploring. @JacobSzwejbka could comment more

@guangy10 guangy10 added the triaged This issue has been looked at a team member, and triaged and prioritized into an appropriate module label Jun 20, 2024
@knn1989
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knn1989 commented Jun 20, 2024

It would be greatly appreciated if this feature could be supported. I have attempted numerous times to transition from using TensorFlow Lite to PyTorch for edge device deployment, but the absence of features like this has hindered my efforts. Thank you.

@jayzhan211
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jayzhan211 commented Jun 21, 2024

I'm quite curious, usually training unlike inferencing expect much more computing, why does on-device training helpful? Is it because of that reduces the develop iteration cycle for training smaller model?

@JacobSzwejbka
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Its under active development, and we should have something to share soon. From your side @knn1989 can you tell me a little bit about what your use case looks like?

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