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I try to run the example of D3 correction with pytorch backend. However, it shows an error of "unknown model type". The running command and the output error are shown below.
where $deepmd_dir is the path to deepmd source code.
Error log:
Traceback (most recent call last):
File "/home/jxzhu/apps/miniconda3/envs/deepmd-latest/bin/dp", line 8, in <module>
sys.exit(main())
File "/home/jxzhu/apps/deepmd/official_devel/deepmd/main.py", line 929, in main
deepmd_main(args)
File "/home/jxzhu/apps/miniconda3/envs/deepmd-latest/lib/python3.10/site-packages/torch/distributed/elastic/multiprocessing/errors/__init__.py", line 347, in wrapper
return f(*args, **kwargs)
File "/home/jxzhu/apps/deepmd/official_devel/deepmd/pt/entrypoints/main.py", line 503, in main
train(FLAGS)
File "/home/jxzhu/apps/deepmd/official_devel/deepmd/pt/entrypoints/main.py", line 305, in train
config["model"], min_nbor_dist = BaseModel.update_sel(
File "/home/jxzhu/apps/deepmd/official_devel/deepmd/dpmodel/model/base_model.py", line 194, in update_sel
cls = cls.get_class_by_type(model_type)
File "/home/jxzhu/apps/deepmd/official_devel/deepmd/utils/plugin.py", line 154, in get_class_by_type
raise RuntimeError(f"Unknown {name} type: {class_type}. {dym_message}")
RuntimeError: Unknown model type: linear_ener.
Bug summary
I try to run the example of D3 correction with pytorch backend. However, it shows an error of "unknown model type". The running command and the output error are shown below.
DeePMD-kit Version
DeePMD-kit v3.0.0b4 (commit: 0b3f860)
Backend and its version
PyTorch v2.2.1-g6c8c5ad5eaf
How did you download the software?
Built from source
Input Files, Running Commands, Error Log, etc.
Running command:
where
$deepmd_dir
is the path to deepmd source code.Error log:
Steps to Reproduce
Further Information, Files, and Links
No response
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