def METHOD_NAME():
    """
    api: paddle.Conv2DTranspose
    op version: 9
    """
    op = Net(in_channels=16,
             out_channels=16,
             groups=16,
             padding=[[0, 0], [0, 0], [1, 2], [2, 3]])
    op.eval()
    # net, name, ver_list, delta=1e-6, rtol=1e-5
    obj = APIOnnx(op, 'nn_Conv2DTranspose', [9, 10, 11, 12])
    obj.set_input_data(
        "input_data",
        paddle.to_tensor(
            randtool("float", -1, 1, [16, 16, 10, 10]).astype('float32')))
    obj.run()