def METHOD_NAME(batch_size=1, image_shape=(3, 224, 224), num_classes=1000, dtype="float32"):
    """Get benchmark workload for SqueezeNet
    Parameters
    ----------
    batch_size : int, optional
        The batch size used in the model
    num_classes : int, optional
        Number of classes
    image_shape : tuple, optional
        The input image shape
    dtype : str, optional
        The data type
    Returns
    -------
    net : relay.Function
        The computational graph
    params : dict of str to NDArray
        The parameters.
    """
    net = get_net(batch_size, image_shape, num_classes, dtype)
    return create_workload(net)