def METHOD_NAME() -> None:
    X = np.zeros((1, 2, 3, 3), dtype=np.float32)
    X[0, 0] = np.reshape(np.arange(9).astype(np.float32), (3, 3))
    X[0, 1] = np.reshape(np.arange(8, -1, -1).astype(np.float32), (3, 3))
    X.shape = (1, 2, 3, 3)
    W = np.ones((1, 2, 2, 2), dtype=np.float32)
    offset = np.zeros((1, 16, 2, 2), dtype=np.float32)
    offset[
        0, 0, 0, 0
    ] = 0.5  # h-coord of [0, 0] element of kernel in channel 0, at output position [0, 0]
    offset[
        0, 13, 0, 1
    ] = (
        -0.1
    )  # w-coord of [1, 0] element of kernel in channel 1, at output position [0, 1]
    node = onnx.helper.make_node(
        "DeformConv",
        inputs=["X", "W", "offset"],
        outputs=["Y"],
        kernel_shape=[2, 2],
        pads=[0, 0, 0, 0],
        offset_group=2,
    )
    Y = np.array(
        [
            [
                [
                    [33.5, 32.1],  # (1, 1, 2, 2) output tensor
                    [32.0, 32.0],
                ]
            ]
        ]
    ).astype(np.float32)
    expect(
        node,
        inputs=[X, W, offset],
        outputs=[Y],
        name="test_deform_conv_with_multiple_offset_groups",
    )