Thank you for the suggestions, I'll let you know tmrw!

FrothyDog40 thanks, the . works 😄

I tried to build allegroai/clearml-agent-services on my laptop with ubuntu:22.04 and it failed

Latest clearml, freshly installed today

Yeah, our internal slack bot

I haven't tries code yet

Okay I found your twitteer profile pic to be adequate after upsampling. Thank you and sorry 😅

SOLVED: It was an expired service account key in a clearml config

Thank you, I understand now :D

I will!

By language, I meant the syntax. What is Args and what is batch in Args/batch and what other values exist 😀

By commit hash, I mean the hash od the commit a task was run from. I wish to refer to that commit hash in another task (started with a triggerscheduler) in code

trigger.add_task_trigger(name='export', schedule_task_id=SCHEDULE_ID, task_overrides={...})I would like to override the commit hash of the SCHEDULE_ID with task_overrides

the entire index is 35G

Nothing at all. There are only 2 logs from this day, and all were at 2am

we didn't change a thing from the defaults that's in your github 😄 so it's 500M?

No errors in logs, but that's because I restarted the deployment :(

This was actually a reset (of a one experiment) not a delete

Is the trigger controller running on the services queue ?

Yes, yes it is

You are not missing nothing, it is what we would like to have, to allow multiple people have their own notebook servers. We have multiple people doing different experiments, and JupyterHub would be their "playground" environment

Hey AgitatedDove14 ,

This sort of works but not quite. The process runs sucessfully (i can attach the container, ping thr JPH etc) however the portforwarding fails.

When I do the port forward on my own using ssh -L also seems to fail for jupyterlab and vscode, too, which i find odd

We've sucessfully deployed it without helm with custom made docker-compose and makefiles 😄

Yes, that is correct

Thanks, I'll try it out first thing Monday and I'll let you know 😃

That's only a part of a solution.
You'd also have to allow specifying jupyterhub_config.py , mounting it inside a container at a right place, mounting the docker socket in a secure manner to allow spawning user containers, connecting them to the correct network ( --host won't work), persisting the user database and user data...

CostlyOstrich36 jupyterhub is a multi-user server, which allows many users to login and spawn their own jupyterlab instances (with custom dependencies, data etc) for runing notebooks

AgitatedDove14 no errors, because I don't know how to start 😅 I am just exploring if anyone did this before I get my hands dirty

SuccessfulKoala55 sorry for the bump, what's the status of the fix?

Hello, a similar thing happened today. In the developer's console there was this line

https://server/api/v2.19/tasks.reset_many 504 (Gateway time-out)

i think you're right, the default elastic values do not seem to work for us

It's not because of the remote machine, it's the requirements 😅 as i said, the package is not on pypi. Try adding this at the top of your requirements.txt:

-f torch==1.12.1+cu113 ...other deps...

Errors pop in occasionally in the Web UI. All we see is a dialog with the text "Error"