TensorBoard 不显示标量 [英] TensorBoard does not show scalars

问题描述

我正在玩 TensorBoard，无法制作简单的示例.计算只是简单地添加两个常量.

I am playing TensorBoard and cannot make a simple example work. The computation is simply adding two constants.

import tensorflow as tf

sess = tf.Session()

a = tf.constant(1, name = "const1")
b = tf.constant(10, name = "const2")
c = a + b

asum = tf.summary.scalar("g1" , a)
bsum = tf.summary.scalar("g2",  b)
csum = tf.summary.scalar("gsum", c)

merged = tf.summary.merge_all()


train_writer = tf.summary.FileWriter('.\logs',sess.graph)

summary, _ = sess.run([merged, c])

train_writer.add_summary(summary, 0)

然后我先编译了:

>python filename.py

一切看起来都不错.

然后:

>tensorboard --logdir=".\logs" --inspect

奇怪的事情发生了:没有标量！

The weird thing occurred: there were no scalars!

Found event files in:
.\logs

These tags are in .\logs:
audio -
histograms -
images -
scalars -
tensor -
======================================================================

Event statistics for .\logs:
audio -
graph
   first_step           0
   last_step            0
   max_step             0
   min_step             0
   num_steps            1
   outoforder_steps     []
histograms -
images -
scalars -
sessionlog:checkpoint -
sessionlog:start -
sessionlog:stop -
tensor -
======================================================================

TensorFlow 的版本是:1.2.1

Version of TensorFlow is: 1.2.1

Python 版本:3.5.2

Python version: 3.5.2

推荐答案

FileWriter 对象缓冲它收集的事件，然后，一旦缓冲区已满，将它们写入磁盘.一次调用 FileWriter 对象不足以填充缓冲区，因此您强制 FileWriter 刷新缓冲区并将内容写入磁盘.为此，只需在 add_summary 操作之后调用 .close().

The FileWriter object buffers the event it collects and then, once the buffer is full, write them on the disk. A single call of the FileWriter object isn't enough the fill the buffer, thus you to force the FileWriter to flush the buffer and write the content on the disk. To do that, just call .close() after the add_summary operation.

train_writer.add_summary(summary, 0)
train_writer.close()

这将关闭 train_writer 对象，您将无法再使用它.

This will close the train_writer object and you can't use it anymore.

如果您只想刷新缓冲区而不关闭文件，您可以使用 .flush() 方法.

If you, instead, want to just flush the buffer without closing the file, you can use the .flush() method.

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