griddata memory issue

        n_x = np.arange(0, self.chip.npix_x, 1)

        n_y = np.arange(0, self.chip.npix_y, 1)

        M, N = np.meshgrid(n_x, n_y)

        U = griddata(X_, Z_, (

            M[0:self.chip.npix_y, 0:self.chip.npix_x],

            N[0:self.chip.npix_y, 0:self.chip.npix_x]),

            method='nearest').astype(np.float32)

        x_seg_len = 4

        y_seg_len = 8

        x_seg = int(self.chip.npix_x/x_seg_len)

        y_seg = int(self.chip.npix_y/y_seg_len)

        U = np.zeros([self.chip.npix_y,self.chip.npix_x],dtype=np.float32)

        for y_seg_i in np.arange(y_seg_len):

            for x_seg_i in np.arange(x_seg_len):

                U[y_seg_i*y_seg:(y_seg_i+1)*y_seg, x_seg_i*x_seg:(x_seg_i+1)*x_seg] = griddata(X_, Z_, (

            M[y_seg_i*y_seg:(y_seg_i+1)*y_seg, x_seg_i*x_seg:(x_seg_i+1)*x_seg],

            N[y_seg_i*y_seg:(y_seg_i+1)*y_seg, x_seg_i*x_seg:(x_seg_i+1)*x_seg]),

            method='linear')

        # U = griddata(X_, Z_, (

        #     M[0:self.chip.npix_y, 0:self.chip.npix_x],

        #     N[0:self.chip.npix_y, 0:self.chip.npix_x]),

        #     method='nearest').astype(np.float32)

        U = U/np.mean(U)

        flatImage = U

        if LED_Img_flag: