diff --git a/test/test_randomness.py b/test/test_randomness.py
index 435778efb4..5c0c5c8c60 100644
--- a/test/test_randomness.py
+++ b/test/test_randomness.py
@@ -251,6 +251,9 @@ class TestRandomness(unittest.TestCase):
     self.assertTrue(normal_test(Tensor.randn))
     self.assertTrue(equal_distribution(Tensor.randn, torch.randn, lambda x: np.random.randn(*x)))
 
+  def test_randn_device(self):
+    self.assertEqual(Tensor.randn(3,3,device="CPU").device, "CPU")
+
   @given(strat.sampled_from([dtypes.float, dtypes.float16, dtypes.bfloat16]))
   @unittest.skipIf(Device.DEFAULT in ["HSA", "AMD"], "bfloat16 local buffer broken in HSA")
   def test_randn_finite(self, default_float):
diff --git a/tinygrad/tensor.py b/tinygrad/tensor.py
index 952459ac40..488df0fb4c 100644
--- a/tinygrad/tensor.py
+++ b/tinygrad/tensor.py
@@ -762,7 +762,7 @@ class Tensor(MathTrait):
     print(Tensor.randn(2, 3).numpy())
     ```
     """
-    return Tensor.empty(*shape).randn_like(dtype=dtype, requires_grad=requires_grad)
+    return Tensor.empty(*shape, **kwargs).randn_like(dtype=dtype, requires_grad=requires_grad)
 
   @staticmethod
   def randint(*shape, low=0, high=10, dtype=dtypes.int32, **kwargs) -> Tensor: