如何在virtualenv中从python scipt运行Tensorboard? [英] How to run Tensorboard from python scipt in virtualenv?

问题描述

Tensorboard应该从这样的公共行开始:

Tensorboard should be started from commnad line like that:

tensorboard --logdir=path

我需要从代码运行它.到现在为止，我都使用这个:

I need to run it from code. Until now I use this:

import os
os.system('tensorboard --logdir=' + path)

但是，由于系统路径中未包含张量板，因此无法启动.我在Windows上将PyCharm与virtualenv一起使用.我不想更改系统路径，因此唯一的选择是从virtualenv运行它.这该怎么做?

However tensorboard do not start because is not included in the system path. I use PyCharm with virtualenv on windows. I don't want to change system paths so the only option is to run it from virtualenv. How to do this?

推荐答案

使用Tensorboard 2 API(2019):

Using Tensorboard 2 API (2019):

from tensorboard import program
tb = program.TensorBoard()
tb.configure(argv=[None, '--logdir', tracking_address])
url = tb.launch()

注意:tb.launch()创建一个守护进程线程，该线程将在进程完成后自动终止

Note: tb.launch() create a daemon thread that will die automatically when your process is finished

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