def __call__(self, p):
        norms = K.sqrt(K.sum(K.square(p), axis=self.axis, keepdims=True))
        desired = K.clip(norms, 0, self.m)
        p = p * ((K.epsilon() + norms) / desired)
        return p
dataset/ETHPy150Open fchollet/keras/keras/constraints.py/MaxNorm.__call__/swapped operands of `/`