Tensorboard Error: No dashboards are active for current data set

问题

I am trying to use Tensorboard but every time I run any program with Tensorflow, I get an error when I go to localhost:6006 to view the Visualization

Here is my code

a = tf.add(1, 2,)
b = tf.multiply(a, 3)

with tf.Session() as sess:
    writer = tf.summary.FileWriter("output", sess.graph)
    print(sess.run(b))
    writer.close()

When I go to the command prompt and enter

tensorboard --logdir=C:\path\to\output\folder

It returns with

TensorBoard 0.1.8 at http://MYCOMP:6006 (Press CTRL+C to quit)

When I go to localhost:6006 it states

No dashboards are active for the current data set. Probable causes: - You haven’t written any data to your event files. - TensorBoard can’t find your event files.

I have looked at this link (Tensorboard: No dashboards are active for the current data set) but it doesn't seem to fix this issue

And I am running this on Windows 10

What do I do to fix this issue? Am I giving the right path for Tensorboard in the command prompt?

Thank you in advance

回答1:

Your issue may be related to the drive you are attempting to start tensorboard from and the drive your logdir is on. Tensorboard uses a colon to separate the optional run name and the path in the logdir flag, so your path is being interpreted as \path\to\output\folder with name C.

This can be worked around by either starting tensorboard from the same drive as your log directory or by providing an explicit run name, e.g. logdir=mylogs:C:\path\to\output\folder

See here for reference to the issue.

回答2:

In case of Windows,I got a workaround.

cd /path/to/log

tensorboard --logdir=./

Here you can use path as normal. Keep in mind not to give spaces with it as logdir = ./.

This gave me an error:

No dashboards are active for the current data set. Probable causes: - You haven’t written any data to your event files. - TensorBoard can’t find your event files.

回答3:

In Windows 10, this command works

tensorboard --logdir=training/

Here training is the directory where output files are written. Please note it does not have any quotes and has a slash (/) at the end. Both are important.

回答4:

Well, you have several issues with your code.

You are creating a summary writer (tf.summary.FileWriter) but you don't actually write anything with it. print(sess.run(b)) has nothing to do with tensorboard if you expected this to has some effect on it. It just prints the value of b
You don't create and summary object to connect some value with.
You are probably entering wrong folder for tensorboard.

More analytically:

You need a summary object to write a summary. For example a tf.summary.scalar to write a scalar to a summary. Something like tf.summary.scalar("b_value", b) to write the value of b to a summary.
Then you actually need to run your summary operation into a session to get it working, like: summary = sess.run(summary_scalar).
Write the value with the writer you defined previously: writer.add_summary(summary).
Now there is something to see in tensorboard, using tensorboard --logdir=output in a terminal
In general use you will probably need tf.summary.merge_all() to pass to run in order to gather all your summaries together.

Hope this helps.

回答5:

Find the path to main.py inside tensorboard directory and copy it. It should be something like this:

C:/Users/<Your Username>/Anaconda3/envs/tensorflow/Lib/site-packages/tensorboard/main.py

C:/Users/<Your Username>/anaconda/envs/tf/lib/python3.5/site-packages/tensorboard/main.py

Once you know the correct path, Run this command in Anaconda Prompt using the path to main.py inside tensorboard directory. This worked for me in Windows.

python C:/Users/Username/Anaconda3/envs/tensorflow/Lib/site-packages/tensorboard/main.py --logdir=foo:<path to your log directory>

Credits: KyungHoon Kim

回答6:

When I ran the TensorFlow (https://www.tensorflow.org/programmers_guide/tensorboard_histograms) tutorial, I ran across the same issue. I went ahead and tried the solution referenced by hpabst above. It worked like champ. In terminal (I am running in CentOS)- I ran: tensorboard --log =mydir: '~/mlDemo/'

回答7:

I am working with windows 10 as well. I tried your code with running tensorboard from same drive, different drive, and local path. In all three cases, I was able to see the graph.

One solution is, maybe you need to change your host (I cannot visualize with localhost:6006 as well). Try http://MYCOMP:6006 to check if you see any difference.

Note: My tensorboard version is 1.8.0 (maybe you can update your tensorboard to see it gives any difference)

回答8:

When I had this problem, it started working after I shut down my computer. However, I don't know why it worked.

回答9:

Try this instead:

tensorboard --logdir="C:\path\to\output\folder"

来源：https://stackoverflow.com/questions/47113472/tensorboard-error-no-dashboards-are-active-for-current-data-set

标签

python-3.x

tensorflow

tensorboard