def METHOD_NAME():
    """
    The test network fc1.onnx is used, which has two input variables and two output variables.
    The network was trained such that the first output approximates the sum of the absolute
    values of the inputs, while the second output approximates the sum of the squares of the inputs
    for inputs in the range [-10.0, 10.0].
    """
    filename = os.path.join(os.path.dirname(__file__), NETWORK_FILE)
    network = Marabou.read_onnx(filename)
    # Get the input and output variable numbers; [0] since first dimension is batch size
    inputVars = network.inputVars[0][0]
    # Set input bounds
    network.setLowerBound(inputVars[0],-10.0)
    network.setUpperBound(inputVars[0], 10.0)
    network.setLowerBound(inputVars[1],-10.0)
    network.setUpperBound(inputVars[1], 10.0)
    return network