def METHOD_NAME():
    """
    api: paddle.MaxPool2D
    op version: 9, 10, 11, 12
    """
    op = Net(kernel_size=5, padding=[1, 2])
    op.eval()
    # net, name, ver_list, delta=1e-6, rtol=1e-5
    obj = APIOnnx(op, 'nn_MaxPool2D', [9, 10, 11, 12])
    obj.set_input_data(
        "input_data",
        paddle.to_tensor(
            randtool("float", -1, 1, [3, 1, 10, 10]).astype('float32')))
    obj.run()