def METHOD_NAME(param, param_type):
    if skip_codegen_test():
        return
    qnn_params = _qnn_params
    qnn_params[param] = relay.const([1, 2], param_type)
    dtype = "int8"
    op_name = "qnn.add"
    op = relay.qnn.op.add
    inputs = {"a", "b"}
    for shape in [(1, 3, 3, 2)]:
        func = _get_model(shape, dtype, iter(inputs), op, qnn_params)
        exp_codegen = _get_expected_codegen(shape, dtype, op_name, qnn_params)
        verify_codegen(func, exp_codegen, num_acl_modules=0, tvm_ops=1)