And fix this one

malfet · malfet · commit 370f26d93c0b · 2026-03-12T16:26:14.000-07:00
diff --git a/test/test_sparse.py b/test/test_sparse.py
@@ -3372,12 +3372,14 @@ def test_is_nonzero(self, device):
             torch.sparse_coo_tensor(([0, 1],), torch.empty(2, 0), (4, 0), device=device).is_nonzero()
         self.assertTrue(torch.sparse_coo_tensor(([0],), 2.3 - 4.5j, (1,), dtype=torch.cfloat, device=device)
                         .is_nonzero())
-        self.assertTrue(torch.sparse_coo_tensor(([0],), 2.3 - 4.5j, (1,), dtype=torch.cdouble, device=device)
-                        .is_nonzero())
+        if device != 'mps:0':
+            self.assertTrue(torch.sparse_coo_tensor(([0],), 2.3 - 4.5j, (1,), dtype=torch.cdouble, device=device)
+                            .is_nonzero())
         self.assertFalse(torch.sparse_coo_tensor(([0],), 0. + 0j, (1,), dtype=torch.cfloat, device=device)
                          .is_nonzero())
-        self.assertFalse(torch.sparse_coo_tensor(([0],), 0. + 0j, (1,), dtype=torch.cdouble, device=device)
-                         .is_nonzero())
+        if device != 'mps:0':
+            self.assertFalse(torch.sparse_coo_tensor(([0],), 0. + 0j, (1,), dtype=torch.cdouble, device=device)
+                             .is_nonzero())
 
     @dtypes(torch.double, torch.cdouble)
     @dtypesIfMPS(torch.float32, torch.complex64)
