diff --git a/source/tests/pt/model/test_smooth.py b/source/tests/pt/model/test_smooth.py
index 4f5be912cf..1a75caebdc 100644
--- a/source/tests/pt/model/test_smooth.py
+++ b/source/tests/pt/model/test_smooth.py
@@ -39,7 +39,9 @@ def test(
 
         natoms = 10
         cell = 8.6 * torch.eye(3, dtype=dtype, device=env.DEVICE)
-        atype = torch.randint(0, 3, [natoms], device=env.DEVICE)
+        atype0 = torch.arange(3, dtype=dtype, device=env.DEVICE)
+        atype1 = torch.randint(0, 3, [natoms - 3], device=env.DEVICE)
+        atype = torch.cat([atype0, atype1]).view([natoms])
         coord0 = torch.tensor(
             [
                 0.0,
@@ -148,7 +150,6 @@ def setUp(self):
         self.epsilon, self.aprec = None, None
 
 
-# @unittest.skip("dpa-1 not smooth at the moment")
 class TestEnergyModelDPA1(unittest.TestCase, SmoothTest):
     def setUp(self):
         model_params = copy.deepcopy(model_dpa1)
@@ -160,6 +161,30 @@ def setUp(self):
         self.aprec = 1e-5
 
 
+class TestEnergyModelDPA1Excl1(unittest.TestCase, SmoothTest):
+    def setUp(self):
+        model_params = copy.deepcopy(model_dpa1)
+        model_params["pair_exclude_types"] = [[0, 1]]
+        self.type_split = True
+        self.model = get_model(model_params).to(env.DEVICE)
+        # less degree of smoothness,
+        # error can be systematically removed by reducing epsilon
+        self.epsilon = 1e-5
+        self.aprec = 1e-5
+
+
+class TestEnergyModelDPA1Excl12(unittest.TestCase, SmoothTest):
+    def setUp(self):
+        model_params = copy.deepcopy(model_dpa1)
+        model_params["pair_exclude_types"] = [[0, 1], [0, 2]]
+        self.type_split = True
+        self.model = get_model(model_params).to(env.DEVICE)
+        # less degree of smoothness,
+        # error can be systematically removed by reducing epsilon
+        self.epsilon = 1e-5
+        self.aprec = 1e-5
+
+
 class TestEnergyModelDPA2(unittest.TestCase, SmoothTest):
     def setUp(self):
         model_params = copy.deepcopy(model_dpa2)