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[BUG] Changing nlayer lead no error report while fine-tuning #4848

@QuantumMisaka

Description

@QuantumMisaka

Bug summary

When changing the nlayer parameter in input.json while fine-tune the DPA310-3M pre-trained model, deepmd-kit will throw no error and process the training for the model of this nlayer. I have no idea that it is correct or wrong. In my knowledge the nlayer should keep the same.

DeePMD-kit Version

3.1.0

Backend and its version

PyTorch

How did you download the software?

Offline packages

Input Files, Running Commands, Error Log, etc.

input is the same as any dpa3-fine-tuning input.json, only the nlayer parameter is changed

Steps to Reproduce

change the nlayer of input.json for dpa3 fine-tuning, and perform this fine-tuning

Further Information, Files, and Links

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