tensor([1.0000, 0.7500, 0.0500]),
         tensor([1.0000, 0.7500, 0.0500])]

        >>> pred = tensor([[0.8191, 0.3680, 0.1138],
        ...                [0.3584, 0.7576, 0.1183],
        ...                [0.2286, 0.3468, 0.1338],
        ...                [0.8603, 0.0745, 0.1837]])
        >>> target = tensor([[1, 1, 0], [0, 1, 0], [0, 0, 0], [0, 1, 1]])
        >>> roc = ROC(task='multilabel', num_labels=3)
        >>> fpr, tpr, thresholds = roc(pred, target)
        >>> fpr
        [tensor([0.0000, 0.3333, 0.3333, 0.6667, 1.0000]),
         tensor([0., 0., 0., 1., 1.]),
         tensor([0.0000, 0.0000, 0.3333, 0.6667, 1.0000])]
        >>> tpr
        [tensor([0., 0., 1., 1., 1.]),
         tensor([0.0000, 0.3333, 0.6667, 0.6667, 1.0000]),
         tensor([0., 1., 1., 1., 1.])]
        >>> thresholds
        [tensor([1.0000, 0.8603, 0.8191, 0.3584, 0.2286]),
         tensor([1.0000, 0.7576, 0.3680, 0.3468, 0.0745]),
         tensor([1.0000, 0.1837, 0.1338, 0.1183, 0.1138])]

    NTÚ