fix bug of output def: the reduced virial is not defined.

deepmd/dpmodel/output_def.py

@@ -147,6 +147,8 @@
         self.differentiable = differentiable
         if not self.reduciable and self.differentiable:
             raise ValueError("only reduciable variable are differentiable")
+        if self.reduciable and not self.atomic:
+            raise ValueError("only reduciable variable should be atomic")
 
 
 class FittingOutputDef:
@@ -201,14 +203,16 @@
         fit_defs: FittingOutputDef,
     ):
         self.def_outp = fit_defs
-        self.def_redu = do_reduce(self.def_outp)
-        self.def_derv_r, self.def_derv_c = do_derivative(self.def_outp)
+        self.def_redu = do_reduce(self.def_outp.get_data())
+        self.def_derv_r, self.def_derv_c = do_derivative(self.def_outp.get_data())
+        self.def_derv_c_redu = do_reduce(self.def_derv_c)
         self.var_defs: Dict[str, OutputVariableDef] = {}
         for ii in [
             self.def_outp.get_data(),
             self.def_redu,
             self.def_derv_c,
             self.def_derv_r,
+            self.def_derv_c_redu,
         ]:
             self.var_defs.update(ii)
 
@@ -239,6 +243,9 @@
     def keys_derv_c(self):
         return self.def_derv_c.keys()
 
+    def keys_derv_c_redu(self):
+        return self.def_derv_c_redu.keys()
+
 
 def get_reduce_name(name: str) -> str:
     return name + "_redu"
@@ -249,10 +256,10 @@
 
 
 def do_reduce(
-    def_outp: FittingOutputDef,
+    def_outp_data: Dict[str, OutputVariableDef],
 ) -> Dict[str, OutputVariableDef]:
     def_redu: Dict[str, OutputVariableDef] = {}
-    for kk, vv in def_outp.get_data().items():
+    for kk, vv in def_outp_data.items():
         if vv.reduciable:
             rk = get_reduce_name(kk)
             def_redu[rk] = OutputVariableDef(
@@ -262,23 +269,25 @@
 
 
 def do_derivative(
-    def_outp: FittingOutputDef,
+    def_outp_data: Dict[str, OutputVariableDef],
 ) -> Tuple[Dict[str, OutputVariableDef], Dict[str, OutputVariableDef]]:
     def_derv_r: Dict[str, OutputVariableDef] = {}
     def_derv_c: Dict[str, OutputVariableDef] = {}
-    for kk, vv in def_outp.get_data().items():
+    for kk, vv in def_outp_data.items():
         if vv.differentiable:
             rkr, rkc = get_deriv_name(kk)
             def_derv_r[rkr] = OutputVariableDef(
                 rkr,
                 vv.shape + [3],  # noqa: RUF005
                 reduciable=False,
                 differentiable=False,
+                atomic=True,
             )
             def_derv_c[rkc] = OutputVariableDef(
                 rkc,
                 vv.shape + [3, 3],  # noqa: RUF005
                 reduciable=True,
                 differentiable=False,
+                atomic=True,
             )
     return def_derv_r, def_derv_c

source/tests/common/test_output_def.py

@@ -70,6 +70,7 @@ def test_model_output_def(self):
             "energy_redu",
             "energy_derv_r",
             "energy_derv_c",
+            "energy_derv_c_redu",
             "dos_redu",
         ]
         self.assertEqual(
@@ -93,18 +94,24 @@ def test_model_output_def(self):
         self.assertEqual(md["energy_redu"].shape, [1])
         self.assertEqual(md["energy_derv_r"].shape, [1, 3])
         self.assertEqual(md["energy_derv_c"].shape, [1, 3, 3])
+        self.assertEqual(md["energy_derv_c_redu"].shape, [1, 3, 3])
         # atomic
         self.assertEqual(md["energy"].atomic, True)
         self.assertEqual(md["dos"].atomic, True)
         self.assertEqual(md["foo"].atomic, True)
         self.assertEqual(md["energy_redu"].atomic, False)
         self.assertEqual(md["energy_derv_r"].atomic, True)
         self.assertEqual(md["energy_derv_c"].atomic, True)
+        self.assertEqual(md["energy_derv_c_redu"].atomic, False)
 
     def test_raise_no_redu_deriv(self):
         with self.assertRaises(ValueError) as context:
             (OutputVariableDef("energy", [1], False, True),)
 
+    def test_raise_redu_not_atomic(self):
+        with self.assertRaises(ValueError) as context:
+            (OutputVariableDef("energy", [1], True, False, atomic=False),)
+
     def test_model_decorator(self):
         nf = 2
         nloc = 3