It is still getting stuck. I think the issue might have something to do with the iterations versus epochs. I notice that one of the scalars that gets logged early is logging the epoch while the remaining scalars seem to be iterations because the iteration value is 1355 instead of 26

task.connect(model_config)
task.connect(DataAugConfig)

If these are separate dictionaries , you should probably use two sections:

    task.connect(model_config, name="model config")
    task.connect(DataAugConfig, name="data aug")

It is still getting stuck.
I notice that one of the scalars that gets logged early is logging the epoch while the remaining scalars seem to be iterations because the iteration value is 1355 instead of 26

wait so you are seeing Some scalars ?

while the remaining scalars seem to be iterations because the iteration value is 1355 instead of 26

what are you seeing in your TB?

I just created a new virtual environment and the problem persists. There are only two dependencies clearml and tensorflow. @<1523701070390366208:profile|CostlyOstrich36> what logs are you referring to?

So even if you abort it on the start of the experiment it will keep running and reporting logs?

When the script is hung at the end the experiment says failed in ClearML

Another thing I notice is that aborting the experiment does not work when this is happening. It just continues to run

Thanks @<1719524641879363584:profile|ThankfulClams64> having a code that can reproduce it is exactly what we need.
One thing I might have missed and is very important , what is your tensorboard package version?

Yes it is logging to the console. The script does hang whenever it completes all the epochs when it is having the issue.

Not sure why that is related to saving images