That makes sense... If you turn auto_connect_streams to false this mean that auto reporting will be disabled as per the documentation.. If you turn it to True then logging should resume.
When I try to abort an experiment. I get this in the log
clearml.Task - WARNING - ### TASK STOPPED - USER ABORTED - STATUS CHANGED ###
but it does not stop anything it just continues to run
Does any exit code appear? What is the status message and status reason in the 'INFO' section?
Do you also see the same in the terminal itself on the machine?
Yes I see it in the terminal on the machine
I do have uncommitted code changes. I can try to check at some point if it would not have the problem without them. It seems like it could be repeated just by making a git repo with that script and adding a very large file. If I can repeat it is it best to open an issue in GitHub?
Thank you @<1719524641879363584:profile|ThankfulClams64> for opening the GI, hopefully we will be able to reproduce it and fox ot quickly
I'm not sure how to even troubleshoot this.
It was working for me. Anyway I modified the callback. Attached is the script that has the issue for me whenever I add random_image_logger to the callbacks It only logs some of the scalars for 1 epoch. It then is stuck and never recovers. When I remove random_image_logger the scalars are correctly logged. Again this only on 1 computer, other computers we have logging work perfectly fine
sometimes I get no scalars, but the console logging always seems to be working
@<1719524641879363584:profile|ThankfulClams64> , are logs showing up without issue on the 'problematic' machine?
Yes it is logging to the console. The script does hang whenever it completes all the epochs when it is having the issue.
When the script is hung at the end the experiment says failed in ClearML
There is clearly some connection to the ClearML server as it remains "running" the entire training session but there are no metrics or debug samples. And I see nothing in the logs to indicate there is an issue
This was on the same machine I am having issues with it logs scalars correctly using the example code, but when I add in that callback which just logs a random image to tensorboard I don't get any scalars logged
So I am only seeing values for the first epoch. It seems like it does not track all of them so maybe something is happening when it tries to log scalars.
I have seen it only log iterations but setting task.set_initial_iteration(0) seemed to fix that so it now seems to be logging the correct epoch
Tensorboard is correct and works. I have never seen an issue in the tensorboard logs
It is not always reproducible it seems like something that we do not understand happens then the machine consistently has this issue. We believe it has something to do with stopping and starting experiments
I'm not sure if it still reports logs. But it will continue running on the machine
The machine currently having the issue is on tensorboard==2.16.2
Not sure why that is related to saving images
STATUS MESSAGE: N/A
STATUS REASON: Signal None
Is there someway to kill all connections of a machine to the ClearML server this does seem to be related to restarting a task / running a new task quickly after a task fails or is aborted
My bad, if you set auto_connect_streams to false, you basically disable the console logging... Please see the documentation:
auto_connect_streams (Union[bool, Mapping[str, bool]]) – Control the automatic logging of stdout and stderr.
Yes it shows on the UI and has the first epoch for some of the metrics but that's it. It has run like 50 epochs, it says it is still running but there are no updates to the scalars or debug samples
I'll update my clearml version. Unfortunately I do not have a small code snippet and it is not always repeatable. Is there some additional logging that can be turned on?
Yes tensorboard. It is still logging the tensorboard scalers and images. It just doesn't log the console output
Console output and also what you get on the ClearML task page under the console section