def __call__(self, shape):
        if len(shape) == 2:
            scale = np.sqrt(2./shape[0])
        elif len(shape) == 4:
            scale = np.sqrt(np.prod(shape[1:])/2.)
        else:
            raise NotImplementedError
        return sharedX(np_rng.normal(size=shape, scale=scale))
dataset/ETHPy150Open IndicoDataSolutions/Foxhound/foxhound/inits.py/ReluInit.__call__/swapped operands of `/`