diff --git a/source/tests/pt/test_fitting_net.py b/source/tests/pt/test_fitting_net.py
index ed2c428de5..0390043770 100644
--- a/source/tests/pt/test_fitting_net.py
+++ b/source/tests/pt/test_fitting_net.py
@@ -17,6 +17,9 @@
 from deepmd.tf.fit.ener import (
     EnerFitting,
 )
+from deepmd.pt.utils import (
+    env,
+)
 
 
 class FakeDescriptor:
@@ -105,7 +108,7 @@ def test_consistency(self):
             neuron=self.n_neuron,
             bias_atom_e=self.dp_fn.bias_atom_e,
             distinguish_types=True,
-        )
+        ).to(env.DEVICE)
         for name, param in my_fn.named_parameters():
             matched = re.match(
                 "filter_layers\.networks\.(\d).layers\.(\d)\.([a-z]+)", name
@@ -129,9 +132,9 @@ def test_consistency(self):
         embedding = torch.from_numpy(self.embedding)
         embedding = embedding.view(4, -1, self.embedding_width)
         atype = torch.from_numpy(self.atype)
-        ret = my_fn(embedding, atype)
+        ret = my_fn(embedding.to(env.DEVICE), atype.to(env.DEVICE))
         my_energy = ret["energy"]
-        my_energy = my_energy.detach()
+        my_energy = my_energy.detach().cpu()
         np.testing.assert_allclose(dp_energy, my_energy.numpy().reshape([-1]))