se_e3

Signed-off-by: Jinzhe Zeng <[email protected]>

deepmd/dpmodel/descriptor/se_t.py

@@ -9,6 +9,9 @@
 from deepmd.env import (
     GLOBAL_NP_FLOAT_PRECISION,
 )
+from deepmd.utils.data_system import (
+    DeepmdDataSystem,
+)
 from deepmd.utils.path import (
     DPPath,
 )
@@ -348,15 +351,32 @@
         return obj
 
     @classmethod
-    def update_sel(cls, global_jdata: dict, local_jdata: dict):
+    def update_sel(
+        cls,
+        train_data: DeepmdDataSystem,
+        type_map: Optional[List[str]],
+        local_jdata: dict,
+    ) -> Tuple[dict, Optional[float]]:
         """Update the selection and perform neighbor statistics.
 
         Parameters
         ----------
-        global_jdata : dict
-            The global data, containing the training section
+        train_data : DeepmdDataSystem
+            data used to do neighbor statictics
+        type_map : list[str], optional
+            The name of each type of atoms
         local_jdata : dict
             The local data refer to the current class
+
+        Returns
+        -------
+        dict
+            The updated local data
+        float
+            The minimum distance between two atoms
         """
         local_jdata_cpy = local_jdata.copy()
-        return UpdateSel().update_one_sel(global_jdata, local_jdata_cpy, False)
+        min_nbor_dist, local_jdata_cpy["sel"] = UpdateSel().update_one_sel(
+            train_data, type_map, local_jdata_cpy["rcut"], local_jdata_cpy["sel"], False
+        )
+        return local_jdata_cpy, min_nbor_dist

deepmd/pt/model/descriptor/se_t.py

@@ -30,6 +30,9 @@
 from deepmd.pt.utils.update_sel import (
     UpdateSel,
 )
+from deepmd.utils.data_system import (
+    DeepmdDataSystem,
+)
 from deepmd.utils.env_mat_stat import (
     StatItem,
 )
@@ -324,18 +327,35 @@
         return obj
 
     @classmethod
-    def update_sel(cls, global_jdata: dict, local_jdata: dict):
+    def update_sel(
+        cls,
+        train_data: DeepmdDataSystem,
+        type_map: Optional[List[str]],
+        local_jdata: dict,
+    ) -> Tuple[dict, Optional[float]]:
         """Update the selection and perform neighbor statistics.
 
         Parameters
         ----------
-        global_jdata : dict
-            The global data, containing the training section
+        train_data : DeepmdDataSystem
+            data used to do neighbor statictics
+        type_map : list[str], optional
+            The name of each type of atoms
         local_jdata : dict
             The local data refer to the current class
+
+        Returns
+        -------
+        dict
+            The updated local data
+        float
+            The minimum distance between two atoms
         """
         local_jdata_cpy = local_jdata.copy()
-        return UpdateSel().update_one_sel(global_jdata, local_jdata_cpy, False)
+        min_nbor_dist, local_jdata_cpy["sel"] = UpdateSel().update_one_sel(
+            train_data, type_map, local_jdata_cpy["rcut"], local_jdata_cpy["sel"], False
+        )
+        return local_jdata_cpy, min_nbor_dist
 
 
 @DescriptorBlock.register("se_e3")