为什么不在张量板中绘制一些摘要？

Question

我在tensorflow中编写了k-means算法，并尝试在摘要中添加最小距离：

为什么地块的横向尺寸没有任何长度？横轴是什么？ m后缀是什么意思？

代码如下：

        global_count = 0

        count = 0
        self.report.add_time_stamp(description="Initializing with k-means...")
        self.report.add_time_stamp(description="#\tdist")
        self.report.add_time_stamp(description="%d\t%.4e     " % (count, dist_min_sum_value))
        while dist_min_sum_value != dist_min_sum_value_old:
            count += 1
            global_count += 1
            dist_min_sum_value_old = dist_min_sum_value
            mu_value, cluster_indice_value, distance_square_value, dist_min_value, dist_min_sum_value = \
                sess.run([self.mu_assign_new_kmeans, self.cluster_indices_assign_new_kmeans, self.distance_square,
                          self.dist_min, self.dist_min_sum])

            if self.k_means_summary is not None:
                k_means_summary_value = sess.run(self.k_means_summary)
                self.k_means_writer.add_summary(k_means_summary_value, global_count - 1)

            print("%d\t%.4e     " % (count, dist_min_sum_value))

k_means_summary定义看起来像

self.dist_min_sum_summary = tf.summary.scalar('dist_min_sum_summary', tf.squeeze(self.dist_min_sum))
...
self.k_means_summary = tf.summary.merge([self.dist_min_sum_summary])

合并单个摘要是否正确？

Answer 1

似乎脚本可能只写1个事件。运行

的输出是什么

tensorboard --inspect --logdir=[LOGDIR]

应输出所有事件类型的计数。格式（但不是数据）应如下所示：

audio -
graph -
histograms -
images -
scalars
   first_step           0
   last_step            42
   max_step             42
   min_step             0
   num_steps            43
   outoforder_steps     []
sessionlog:checkpoint -
sessionlog:start -
sessionlog:stop -
tensor -