vbutils.py 文件源码

def summarize(self, sess):
        mean_info = sess.run([tf.sqrt(tf.nn.l2_loss(self.mean)), tf.reduce_min(self.mean), tf.reduce_max(self.mean)])
        var_info  = sess.run([tf.sqrt(tf.nn.l2_loss(self.var)), tf.reduce_min(self.var), tf.reduce_max(self.var)])
        prec_info = sess.run([tf.reduce_min(self.prec), tf.reduce_max(self.prec)])
        return ("l2(%.2e), prec(%.2e, %.2e) std(%.2e, %.2e)" % (mean_info[0], prec_info[0], prec_info[1], np.sqrt(var_info[1]), np.sqrt(var_info[2])) )