this is the full one TimelyPenguin76

lets try

I mean, I barely have 20 experiments

How do I get from the node to the task object?

Okay, so let me get this straight

The autoscaling is basically an ever-running task (lets say on the services queue). Now, the actual auto scaling and which queues exist have nothign to do with that, and are configured in the auto scale task?

Oh... from the docs I understood that I don't have to run the script, that I can either configure it in the UI, or with the sscript (wizard) so I ignored it up until now

I was here, but I can't find info for the questions I mentioned

We try to break up every thing into independent tasks and group them using a pipeline. The dependency on an agnet caused an unnecessary overhead since we just want to execute locally. It became a burden once new data scientists join the project and instead of just telling them "yeah, just execute this script" you have to now teach them about clearml, the role of agents, how to launch them, how they behave, how to remove them and stuff like that... things you want to avoid with data scientists

😅

👍

let me try to docker-compose down --rmi all

not manually I assume that if I deleted the image, and then docker-composed up, and I can see the pull working it should pull the correct one

I ran the wizard liek a milion times

but when it is executed through github actions, I get this error

I have them in two different places, once under Hyperparameters -> General

😅

I was trying out the pipeline controller for the first time and I felt a bit of a burden that just for the sake of trying I had to launch an agent

no git submodules

can't remember, I just restarted everything so I don't have this info now

💪

when using the first checkout action, it goes checks out the repo

The latest, I curl ed the docker-compose like 10 minutes ago

I've read that

yep

I set it to true and restarted by agent

btw my site packages is false - should it be true? You pasted that but I'm not sure what it should be, in the paste is false but you are asking about true

it seems that only the packages that are on the script are getting installed

` alabaster==0.7.12
appdirs==1.4.4
apturl==0.5.2
attrs==21.2.0
Babel==2.9.1
bcrypt==3.1.7
blinker==1.4
Brlapi==0.7.0
cachetools==4.0.0
certifi==2019.11.28
chardet==3.0.4
chrome-gnome-shell==0.0.0
clearml==1.0.5
click==8.0.1
cloud-sptheme==1.10.1.post20200504175005
cloudpickle==1.6.0
colorama==0.4.3
command-not-found==0.3
cryptography==2.8
cupshelpers==1.0
cycler==0.10.0
Cython==0.29.24
dbus-python==1.2.16
decorator==4.4.2
defer==1.0.6
distlib==0.3.1
distro==1.4.0
distro-info===0.23ubuntu1
doc...

This is the pip freeze of the environment I don't know why it differs from what the agent has... the agent only has a subset of these google libs

the output above is what the agent has as it seems... obviously on my machine I have it installed