import tensorflow as tf

              a = 2
              values = interpolated
              inter = tf.reshape(values, [self.resolution,
                                          self.resolution,
                                          self.resolution])
              inter = tf.transpose(tf.reduce_max(inter, axis=a))
              im = axs[fig_obj_count, mtype * 2 + 0].matshow(inter.numpy())
              plt.colorbar(im, ax=axs[fig_obj_count, mtype * 2 + 0])
              print(mtype, fig_obj_count, 0)

              values = tf.math.sign(tf.nn.relu(interpolated + self.tol))
              inter = tf.reshape(values, [self.resolution,
                                          self.resolution,
                                          self.resolution])
              inter = tf.transpose(tf.reduce_max(inter, axis=a))
              im = axs[fig_obj_count, mtype * 2 + 1].matshow(inter.numpy())
              plt.colorbar(im, ax=axs[fig_obj_count, mtype * 2 + 1])
              print(mtype, fig_obj_count, 1)

              if mtype == 1:
