diff --git a/test/test_symbolic_ops.py b/test/test_symbolic_ops.py
index c78ad76a82..766c4c901b 100644
--- a/test/test_symbolic_ops.py
+++ b/test/test_symbolic_ops.py
@@ -1,9 +1,8 @@
 import unittest
-from tinygrad import Variable
+from tinygrad import Tensor, Variable
 from tinygrad.shape.shapetracker import View
 from tinygrad.helpers import Context, GlobalCounters
-from tinygrad.tensor import Tensor
-from tinygrad.ops import UOp
+from tinygrad.ops import sym_infer
 from examples.gpt2 import Attention
 import numpy as np
 
@@ -224,16 +223,16 @@ class TestSymbolicOps(unittest.TestCase):
 
   @unittest.expectedFailure
   def test_conv2d_ceildiv_edge_case(self):
-    def eval_uops(a): return a.sym_infer(dict(v.unbind() for v in a.vars()))
-
-    v = Variable('qwe', 11, 50_000).bind(39601)
-    x = Tensor.randn(1, 22, 39601).reshape(1, 22, v)
+    v = Variable('v', 11, 50_000)
+    val = 39601
+    x = Tensor.randn(1, 22, 39601).reshape(1, 22, v.bind(val))
     weight = Tensor.randn(256, 22, 12)
 
     result = x.conv2d(weight=weight, groups=1, stride=6, dilation=1, padding=(3, 3))
-    shape = tuple(eval_uops(i) if isinstance(i, UOp) else i for i in result.shape)
-    self.assertEqual(shape, (1, 256, 6600))  # fails if ceildiv is incorrect
-
+    var_val = {v: val}
+    shape = tuple(sym_infer(s, var_val) for s in result.shape)
+    self.assertEqual(shape, (1, 256, 6600))  # TODO: fails if ceildiv is incorrect
+    # TODO: test output is correct
 
 if __name__ == '__main__':
   unittest.main()