diff --git a/test/test_linearizer.py b/test/test_linearizer.py
index d00d11d03c..b42cc494c9 100644
--- a/test/test_linearizer.py
+++ b/test/test_linearizer.py
@@ -355,6 +355,21 @@ class TestLinearizer(unittest.TestCase):
     assert accs[1].dtype == stores[1].vin[-1].dtype == dtypes.float
     assert stores[1].vin[0].uop is UOps.DEFINE_GLOBAL
 
+  @unittest.skip("multireduce isn't supported yet")
+  def test_upcast_multireduce_nested_local_upcast(self):
+    x, y, z, w = [Tensor.rand(1,128).realize() for _ in range(4)]
+    st0 = ShapeTracker(views=(View(shape=(1, 128, 128), strides=(0, 0, 1), offset=0, mask=None, contiguous=False),))
+    st1 = ShapeTracker(views=(View(shape=(1, 128, 128), strides=(0, 1, 128), offset=0, mask=None, contiguous=False),))
+    ld0 = LazyOp(BufferOps.LOAD, (), MemBuffer(1, dtypes.float, st0))
+    ld1 = LazyOp(BufferOps.LOAD, (), MemBuffer(2, dtypes.float, st1))
+    ld2 = LazyOp(BufferOps.LOAD, (), MemBuffer(3, dtypes.float, st0))
+    ld3 = LazyOp(BufferOps.LOAD, (), MemBuffer(4, dtypes.float, st1))
+    r0 = LazyOp(ReduceOps.SUM, (LazyOp(BinaryOps.MUL, (ld0, ld1)), ), (2,))
+    r1 = LazyOp(ReduceOps.SUM, (LazyOp(BinaryOps.MUL, (ld2, ld3)), ), (2,))
+    out_st = ShapeTracker(views=(View(shape=(1, 128, 1), strides=(0, 1, 0), offset=0, mask=None, contiguous=True),))
+    ast = (LazyOp(BufferOps.STORE, (LazyOp(BinaryOps.ADD, (r0, r1)), ), MemBuffer(0, dtypes.float, out_st)),)
+    helper_linearizer_ast(ast, [x, y, z, w])
+
   def test_zero_fold(self):
     a, b = Tensor.randn(1).realize(), Tensor.randn(1).realize()
     r = Tensor.stack([a, b])