def from_toplosses(cls, learn, n_imgs=None, **kwargs):
        "Gets indices with top losses."
        train_ds, train_idxs = cls.get_toplosses_idxs(learn, n_imgs, **kwargs)
        return train_ds, train_idxs
Gets indices with top losses.