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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.
Thank you for your assistance !
The text was updated successfully, but these errors were encountered:
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.
Thank you for your assistance !
The text was updated successfully, but these errors were encountered: