diff --git a/src/caustics/lenses/utils.py b/src/caustics/lenses/utils.py
index fab3e8aa..c33e84b8 100644
--- a/src/caustics/lenses/utils.py
+++ b/src/caustics/lenses/utils.py
@@ -3,7 +3,6 @@
 import torch
 from torch import Tensor
 
-from ..utils import vmap_n
 
 __all__ = ("get_pix_jacobian", "get_pix_magnification", "get_magnification")
 
@@ -119,4 +118,9 @@ def get_magnification(raytrace, x, y, z_s) -> Tensor:
         *Unit: unitless*
 
     """
-    return vmap_n(get_pix_magnification, 2, (None, 0, 0, None))(raytrace, x, y, z_s)
+    return torch.reshape(
+        torch.func.vmap(get_pix_magnification, in_dims=(None, 0, 0, None))(
+            raytrace, x.reshape(-1), y.reshape(-1), z_s
+        ),
+        x.shape,
+    )
diff --git a/tests/test_base.py b/tests/test_base.py
index 02e8c776..94ad97d8 100644
--- a/tests/test_base.py
+++ b/tests/test_base.py
@@ -39,6 +39,45 @@ def test(device):
     assert torch.all((sp_y - by).abs() < 1e-3)
 
 
+def test_magnification(device):
+    z_l = torch.tensor(0.5, dtype=torch.float32, device=device)
+    z_s = torch.tensor(1.5, dtype=torch.float32, device=device)
+
+    # Model
+    cosmology = FlatLambdaCDM(name="cosmo")
+    lens = SIE(
+        name="sie",
+        cosmology=cosmology,
+        z_l=z_l,
+        x0=torch.tensor(0.0),
+        y0=torch.tensor(0.0),
+        q=torch.tensor(0.4),
+        phi=torch.tensor(np.pi / 5),
+        b=torch.tensor(1.0),
+    )
+    # Send to device
+    lens = lens.to(device)
+
+    # Point in image plane
+    x = torch.tensor(0.1, device=device)
+    y = torch.tensor(0.1, device=device)
+
+    mag = lens.magnification(x, y, z_s)
+
+    assert np.isfinite(mag.item())
+    assert mag.item() > 0
+
+    # grid in image plane
+    x = torch.linspace(-0.1, 0.1, 10, device=device)
+    y = torch.linspace(-0.1, 0.1, 10, device=device)
+    x, y = torch.meshgrid(x, y, indexing="ij")
+
+    mag = lens.magnification(x, y, z_s)
+
+    assert np.all(np.isfinite(mag.detach().cpu().numpy()))
+    assert np.all(mag.detach().cpu().numpy() > 0)
+
+
 def test_quicktest(device):
     """
     Quick test to check that the built-in `test` module is working