code: def test_dependent_output_shape():
      n, m, x = te.size_var("n"), te.size_var("m"), te.size_var("x")
      A = te.placeholder((n, m))
      B = te.compute((m, n // x), lambda i, j: A[i, j], name="B")
      s = te.create_schedule(B.op)
      mod = tvm.build(s, [A, B, x])
  
imports: import tvm
  from tvm import te
label_desc: Use image node_id 2 for calling a global function with example usage: test_dependent_output_shape() without return types