def max_norm(self, p, maxnorm):
        if 0 > maxnorm:
            norms = T.sqrt(T.sum(T.sqr(p), axis=0))
            desired = T.clip(norms, 0, maxnorm)
            p = p * (desired/ (1e-7 + norms))
        return p
dataset/ETHPy150Open IndicoDataSolutions/Passage/passage/updates.py/Regularizer.max_norm/swapped operands of `>`