Closed tingguangli closed 1 month ago
Your modifier
is out of the model
scope. It should be within the model
scope.
Hi Jingzhe,
Thanks for your reply! Can you be more specific for what do you mean by my modifier is out of the model scope?
Thanks a lot!
Best Regards, Tingguang
It looks to me your file is something like this:
{
"model": {
"descriptor": {},
"fitting_net": {}
},
"loss": {},
"modifier": {}
}
Hi Jingzhe,
Thanks for your suggestion! After I changed "modifier" into the model scale, it has the following error: tensorflow.python.framework.errors_impl.NotFoundError: dw.pb; No such file or directory
I think it is due to the lack of the dw.pb file.
Do you have any idea that how to get the required input files introduced in DPLR manual page:https://docs.deepmodeling.com/projects/deepmd/en/r2/model/dplr.html
Thanks a lot! Tingguang
An additional comment to this that when I commented out the modifier the training model running normally, but I believe the modifier is required for DPLR model training as it stated in the DPLR mannual
Could you watch this tutorial: https://www.youtube.com/watch?v=j6SuMXjaXuo
That's very helpful! Thanks a lot!
I close this issue as there is no active task for developers.
Summary
Undefined key "modifier" is not allowed in strict model for running DPLR model
DeePMD-kit Version
DeePMD-kit v2.2.9
Backend and its version
did not print
Python Version, CUDA Version, GCC Version, LAMMPS Version, etc
No response
Details
Hi All,
I have an issue (Undefined key "modifier" is not allowed in the strict model ) when I used the DPLR model to capture the long-range order behavior: Here is a part of my input.json file: "descriptor" :{ "type": "se_e2_a", "sel": "auto", "rcut_smth": 1.5, "rcut": 9.0, "neuron": [20, 40, 60], "resnet_dt": false, "axis_neuron": 16, "seed": 1, "_comment": " that's all" }, "fitting_net" : { "type": "dipole", "dipole_type": [0], "neuron": [120, 120, 120], "resnet_dt": true, "seed": 1, "_comment": " that's all" }, "_comment": " that's all" }, "loss" :{ "type": "tensor", "pref": 0.0, "pref_atomic": 1.0 }, "modifier": { "type": "dipole_charge", "model_name": "dw.pb", "model_charge_map": [-8], "sys_charge_map": [6, 1], "ewald_h": 1.00, "ewald_beta": 0.40 },
Also, I saw in the introduction of the DPLR manual that besides the input files for the traditional training model, there are also other input files like atomic_dipole.npy that are required for training, does DeePMD have a tutorial for how to get those files for specific systems? (So far I only have the input.json and post-processed files by dpdata after VASP calculation.)
Thanks a lot!