列表的Tensorboard直方图

Question

跟随example，我想在训练过程中绘制值列表的直方图。

更具体地说，是在不同阈值下的f1分数。这是我了解如何在训练期间的各个时间绘制roc曲线的第一步。

但是 Tensorboard仅绘制了一个奇怪的输出（见下文）。

这是生成它的代码：

import tensorflow as tf

tf.reset_default_graph()
k = tf.placeholder(tf.float32)
t = tf.convert_to_tensor(
    [
        tf.cast(tf.greater(k, float(threshold)), tf.float32) * k / 10
        for threshold in range(0, 100, 10)
    ]
)
tf.summary.histogram("greater_k", t)
sess = tf.Session()
writer = tf.summary.FileWriter("/tmp/histogram_example")
summaries = tf.summary.merge_all()
N = 10
for step in range(N):
    summ, tt = sess.run([summaries, t], feed_dict={k: step})
    writer.add_summary(summ, global_step=step)
    print(tt)

[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[0.1 0.  0.  0.  0.  0.  0.  0.  0.  0. ]
[0.2 0.  0.  0.  0.  0.  0.  0.  0.  0. ]
[0.3 0.  0.  0.  0.  0.  0.  0.  0.  0. ]
[0.4 0.  0.  0.  0.  0.  0.  0.  0.  0. ]
[0.5 0.  0.  0.  0.  0.  0.  0.  0.  0. ]
[0.6 0.  0.  0.  0.  0.  0.  0.  0.  0. ]
[0.7 0.  0.  0.  0.  0.  0.  0.  0.  0. ]
[0.8 0.  0.  0.  0.  0.  0.  0.  0.  0. ]

（tf 1.8 tb 1.5）