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Model parameters being marked as orphan when using KFAC optimizer #270

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Uernd opened this issue Sep 22, 2024 · 0 comments
Open

Model parameters being marked as orphan when using KFAC optimizer #270

Uernd opened this issue Sep 22, 2024 · 0 comments

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@Uernd
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Uernd commented Sep 22, 2024

I was trying to use KFAC optimizer to train the FermiNet, a well-designed PINN for solving atoms and molecules. But when I was trying to add the parity constrain to it, I noticed that some of the parameters was labeled as 'orphan', though the calculation was proceeding normally.

I wonder what 'orphan' means, and is this a normal circumstance? Could these parameters labelled as 'orphan' being updated while trainning normally? I mean even though it finally yielded a correct results, there still was a lot of normally-labelled parameters which ensured the model is trainable.

The following picture contains all my changes to FermiNet. I've only modified the networks.py file.
all my changes to ferminet

Thank you for your assistance !

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