def METHOD_NAME(model: Model, X: Any, is_train: bool) -> Tuple[Any, Callable]:
    """Return the output of the wrapped MXNet model for the given input,
    along with a callback to handle the backward pass.
    """
    convert_inputs = model.attrs["convert_inputs"]
    convert_outputs = model.attrs["convert_outputs"]
    Xmxnet, get_dX = convert_inputs(model, X, is_train)
    Ymxnet, mxnet_backprop = model.shims[0](Xmxnet, is_train)
    Y, get_dYmxnet = convert_outputs(model, (X, Ymxnet), is_train)
    def backprop(dY: Any) -> Any:
        dYmxnet = get_dYmxnet(dY)
        dXmxnet = mxnet_backprop(dYmxnet)
        dX = get_dX(dXmxnet)
        return dX
    return Y, backprop