diff --git a/arraycontext/fake_numpy.py b/arraycontext/fake_numpy.py
index 04f66e0e52ccd0a383a51abe3da90282b538f82e..28be07ee3b3a9c32b55633262b8568e71eeb7343 100644
--- a/arraycontext/fake_numpy.py
+++ b/arraycontext/fake_numpy.py
@@ -189,9 +189,6 @@ class BaseFakeNumpyLinalgNamespace:
                         for _, subary in serialize_container(ary)],
                     ord=ord)
 
-        if len(ary.shape) != 1:
-            raise NotImplementedError("only vector norms are implemented")
-
         if ary.size == 0:
             return 0
 
diff --git a/test/test_arraycontext.py b/test/test_arraycontext.py
index b632e208d0af7edc79baccda5cdaf87a2354f94b..19b427e0257010644c1a7b9be8c2900e717f2164 100644
--- a/test/test_arraycontext.py
+++ b/test/test_arraycontext.py
@@ -748,6 +748,9 @@ def test_norm_ord_none(actx_factory, ndim):
     norm_a_ref = np.linalg.norm(a, ord=None)
     norm_a = actx.np.linalg.norm(actx.from_numpy(a), ord=None)
 
+    if not np.isscalar(norm_a):
+        norm_a = actx.to_numpy(norm_a)
+
     np.testing.assert_allclose(norm_a, norm_a_ref)