move has_spin to has_spin_pt in pt deep_eval

deepmd/infer/deep_eval.py

@@ -319,7 +319,7 @@ def __init__(
             neighbor_list=neighbor_list,
             **kwargs,
         )
-        if getattr(self.deep_eval, "has_spin", False) and hasattr(
+        if getattr(self.deep_eval, "has_spin_pt", False) and hasattr(
             self, "output_def_mag"
         ):
             self.deep_eval.output_def = self.output_def_mag
@@ -500,7 +500,7 @@ def has_efield(self) -> bool:
     @property
     def has_spin(self) -> bool:
         """Check if the model has spin."""
-        return getattr(self.deep_eval, "has_spin", False)
+        return getattr(self.deep_eval, "has_spin_pt", False)
 
     def get_ntypes_spin(self) -> int:
         """Get the number of spin atom types of this model."""

deepmd/infer/deep_pot.py

@@ -194,7 +194,7 @@ def eval(
                 force,
                 virial,
             )
-        if getattr(self.deep_eval, "has_spin", False):
+        if getattr(self.deep_eval, "has_spin_pt", False):
             force_mag = results["energy_derv_r_mag"].reshape(nframes, natoms, 3)
             result = result + tuple(force_mag)
             if atomic:

deepmd/pt/infer/deep_eval.py

@@ -121,9 +121,9 @@ def __init__(
             self.auto_batch_size = auto_batch_size
         else:
             raise TypeError("auto_batch_size should be bool, int, or AutoBatchSize")
-        self.has_spin = getattr(self.dp.model["Default"], "has_spin", False)
-        if callable(self.has_spin):
-            self.has_spin = self.has_spin()
+        self.has_spin_pt = getattr(self.dp.model["Default"], "has_spin", False)
+        if callable(self.has_spin_pt):
+            self.has_spin_pt = self.has_spin_pt()
 
     def get_rcut(self) -> float:
         """Get the cutoff radius of this model."""