没有张量板图 [英] there is no graph with tensorboard

问题描述

我正在阅读一本关于 Tensorflow 的书，我找到了这段代码:

I am reading a book on Tensorflow and I find this code:

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

import tensorflow as tf

const1 = tf.constant(2)
const2 = tf.constant(3)
add_opp = tf.add(const1,const2)
mul_opp = tf.mul(add_opp, const2)

with tf.Session() as sess:
    result, result2 = sess.run([mul_opp,add_opp])
    print(result)
    print(result2)

    tf.train.SummaryWriter('./',sess.graph)

所以它非常简单，没什么特别的，它应该产生一些可以用张量板可视化的输出.

so it is very simple, nothing fancy and it is supposed to produce some output that can be visualized with tensorboard.

所以我运行脚本，它打印了结果，但显然 SummaryWriter 没有产生任何结果.

So I run the script, it prints the results but apparently SummaryWriter produces nothing.

我运行 tensorboard -logdir='./'，当然没有图表.我可能做错了什么?

I run tensorboard -logdir='./' and of course there is no graph. What could I be doing wrong?

还有你如何终止张量板?我试过 ctrl-C 和 ctrl-Z 但它不起作用.(我也使用日文键盘，所以没有反斜杠以防万一)

And also how do you terminate tensorboard? I tried ctrl-C and ctrl-Z and it does not work. (also I am in a japanese keyboard so there is no backslash just in case)

推荐答案

tf.train.SummaryWriter 必须关闭(或刷新)以确保数据(包括图形)已写入其中.对您的程序进行以下修改应该可以工作:

The tf.train.SummaryWriter must be closed (or flushed) in order to ensure that data, including the graph, have been written to it. The following modification to your program should work:

writer = tf.train.SummaryWriter('./', sess.graph)
writer.close()

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