code: def test_split_uneven_unique_likely():
      a = te.placeholder(
          (16, 16),
      )
      b = te.placeholder(
          (16, 16),
      )
      c = te.compute((16, 16), lambda x, y: a[x, y] + b[x, y])
  
      x, y = c.op.axis
      sch = te.create_schedule(c.op)
      xo, xi = sch[c].split(x, 5)
      stmt = tvm.lower(sch, [a, b, c])["main"].body
      assert isinstance(stmt.body.body, tvm.tir.stmt.IfThenElse)
  
imports: import tvm
  from tvm import te
label_desc: Use image node_id 3 for calling a global function with example usage: test_split_uneven_unique_likely() without return types