code: def test_vectorize_with_le_cond():
      n = te.var("n")
      ib = tvm.tir.ir_builder.create()
      A = ib.pointer("float32", name="A")
      with ib.for_range(0, 4, kind="vectorize") as i:
          with ib.if_scope(i <= n):
              A[i] = A[i] + 1
      stmt = ib.get()
  
      mod = tvm.IRModule.from_expr(tvm.tir.PrimFunc([A, n], stmt))
      stmt = tvm.tir.transform.VectorizeLoop()(mod)["main"].body
  
      assert isinstance(stmt, tvm.tir.For)
  
file_path: tvm/tests/python/tir-transform/test_tir_transform_vectorize.py
imports: import tvm
  from tvm import te
label_desc: Use image node_id 6 for calling a global function with example usage: test_vectorize_with_le_cond() without return types