Well actually I do see many errors like that in the browser console:

As a quick fix, can you test with auto refresh (see top right button with the pause sign you have on the video)

That doesn’t work unfortunately

So the new EventsIterator is responsible for the bug.
Is there a way for me to easily force the WebUI to always use the previous endpoint (v1.7)? I saw in the diff changes v1.1.0 > v1.2.0 that ES version was bumped to 7.16.2. I am using an external ES cluster, and its version is still 7.6.2. Can it be that the incompatibility comes from here? I’ll update the cluster to make sure it’s not the case

Super! I’ll give it a try and keep you updated here, thanks a lot for your efforts 🙏

Hi SuccessfulKoala55 , AgitatedDove14 ,
I updated to 1.4.0 (Web UI shows: WebApp: 1.5.0-186 • Server: 1.5.0-186 • API: 2.18 )
Unfortunately the bug is still there 😞
I don’t see errors in the console anymore though!

I had another look and modified a events.get_task_logs request with a super old timestamp to try to retrieve all logs, this returned me only the few logs already displayed in the console. So I think the problem doesn’t come from the WebUI, but from the...

I am happy if I can be of any help to fix that 😄

Another error that just popped up:

correct, you could also use

Task.create

that creates a Task but does not do any automagic.

Yes, I didn't use it so far because I didn't know what to expect since the doc states:
"Create a new, non-reproducible Task (experiment). This is called a sub-task."

So I guess the problem is that the following snippet:
from clearml import Task Task.init()Should be added before the if __name__ == "__main__": ?

I still don't see why you would change the type of the cloned Task, I'm assuming the original Task had the correct type, no?

Because it is easier for me that I create a training task out of the controller task by cloning it (so that parameters are prefilled and I can set the parent task id)

Thanks for the hack! The use case is the following: I have a controler that creates training/validation/testing tasks by cloning (so that the parent task id is properly set to the controler). Otherwise I could simply create these tasks with Task.init, but then I would need to set manually the parent task for each one of these tasks, probably with a similar hack, right?

No I agree, it’s probably not worth it

Awesome, thanks!

awesome, thank you 👍

yes

AgitatedDove14 Should I create an issue for this to keep track of it?

ok, now I actually remember why I used _update_requirements instead of add_requirements: The first overwrites all the other, the later only add to the already detected packages. Since my deps are listed in the dependencies of my setup.py, I don't want clearml to list the dependencies of the current environment

I had this problem before

/data/shared/miniconda3/bin/python /data/shared/miniconda3/bin/clearml-agent daemon --services-mode --detached --queue services --create-queue --docker ubuntu:18.04 --cpu-only

And I can verify that ~/trains.conf exists in the su home folder

from the ClearML UI

Alright then! 👍

Thanks, I will create an issue. I am fine with both ways :)

And I do that each time I want to create a subtask. This way I am sure to retrieve the task if it already exists

AnxiousSeal95 The main reason for me to not use clearml-serving triton is the lack of documentation tbh 😄 I am not sure how to make my pytorch model run there

Thanks!

edited the aws_auto_scaler.py, actually I think it’s just a typo, I just need to double the brackets

Alright, how can I then mount a volume of the disk?

Yea thats what I thought, I do have trains server 0.15

Awesome, thanks!