在 tensorboard 中创建日志目录 [英] Creating log directory in tensorboard

问题描述

我正在尝试学习如何使用 tensorboard，我想让它在我的程序中运行.我不明白如何创建日志目录.这些是我用于运行 tensorboard 的行.

I am trying to learn how to use tensorboard and I would like to have it run in my program. I do not understand how to create a log directory. These are the lines I have for running tensorboard.

   summary_writer = tf.train.SummaryWriter('/tensorflow/logdir', sess.graph_def)
   tensorboard --logdir=tensorflow/logdir

我得到的错误信息是

Cannot assign to operator

推荐答案

这一行需要在您的代码(python 脚本)中，正如您所说:

This line needs to be in your code (the python script), as it seems you put it:

summary_writer = tf.train.SummaryWriter('/tensorflow/logdir',sess.graph_def)

summary_writer = tf.train.SummaryWriter('/tensorflow/logdir', sess.graph_def)

但是，您必须从 linux(而不是从脚本中)调用这一行:

This line, however, you have to call from linux (and not from within the script):

tensorboard --logdir=tensorflow/logdir

tensorboard --logdir=tensorflow/logdir

但是，在 tensorboard 真正运行之前，您还需要做很多事情:如何创建 Tensorflow Tensorboard 空图

However, there is a lot more you need to do, before tensorboard really runs: How to create a Tensorflow Tensorboard Empty Graph

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