diff --git a/torchhd/models.py b/torchhd/models.py
index d806f657..af6d7b2b 100644
--- a/torchhd/models.py
+++ b/torchhd/models.py
@@ -161,7 +161,6 @@ def add_online(self, input: Tensor, target: Tensor, lr: float = 1.0) -> None:
         self.weight.index_add_(0, target, alpha1 * input, alpha=lr)
         self.weight.index_add_(0, pred, alpha2 * input, alpha=lr)
 
-    @torch.no_grad()
     def normalize(self, eps=1e-12) -> None:
         """Transforms all the class prototype vectors into unit vectors.
 
diff --git a/torchhd/tests/test_models.py b/torchhd/tests/test_models.py
index e4226f50..93a9eca7 100644
--- a/torchhd/tests/test_models.py
+++ b/torchhd/tests/test_models.py
@@ -82,6 +82,16 @@ def test_add_online(self):
         logits = model(samples)
         assert logits.shape == (10, 3)
 
+    def test_add_adapt(self):
+        samples = torch.randn(10, 12)
+        targets = torch.randint(0, 3, (10,))
+
+        model = models.Centroid(12, 3)
+        model.add_adapt(samples, targets)
+
+        logits = model(samples)
+        assert logits.shape == (10, 3)
+
 
 class TestIntRVFL:
     @pytest.mark.parametrize("dtype", torch_dtypes)