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
No response
Bug summary
When changing the
nlayerparameter 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 thisnlayer. I have no idea that it is correct or wrong. In my knowledge thenlayershould 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
nlayerofinput.jsonfor dpa3 fine-tuning, and perform this fine-tuningFurther Information, Files, and Links
No response