def _backward(self, grad_act, input_act):
        kron_kernel = np.ones((self.pool_size,self.pool_size))[np.newaxis,...,np.newaxis]
        grad_input_act = np.kron(grad_act, kron_kernel)/self.pool_size/self.pool_size
        return grad_input_act, None
dataset/ETHPy150Open bbabenko/simple_convnet/simple_convnet/convnet.py/MeanPoolingLayer._backward/original