or its the same palce in the config file for configuring the docker mode agent base image?

Nope

Does that mean that teh AWS autoscaler in trains, manages EC2 auto scaling directly without using the AWS built in EC2 auto scaler?

I prefer we debug on my machine (tell me what you want to check) than create a snippet

I guess so

CostlyOstrich36 so why 1000:1000? My user and group are not that and so do all the otehr files I have under /opt/clearml

Lets see if this is really the issue

Another Q on that - does pyhocon allows me to edit the file while keeping the comments in place?

👍

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

Yeah but I don't get what it is for - for now I have 2 agents, each listening to some queues. I actually ignore the "services" queue until now

I don't get the difference between how I'm using my agents now, just starting them on machines, and making them listen to queues, to using the "services" mode

I really don't know, as you can see in my last screenshot, I've configured my base image to be 10.1

nvidia/cuda:10.1-base-ubuntu18.04

it is a model name

Sorry.. I still don't get it - when I'm launching an agent with the --docker flag or with the --services-mode flag, what is the difference? Can I use both flags? what does it mean? 🤔

it seems apiserver_conf doesn't even change

so?

could be 192.168.1.255?

Is there a way to do so without touching the config? directly through the Task object?

but using that code - how would I edit fileds?

no git submodules

I was sure you are on Israel times as well, sorry for the night time thing 😄

and then how would I register the final artifact to the pipelien? AgitatedDove14 ⬆

hahaha

yeah I know

very cool

First of all I wasn't aware that was an option - but I think it's preferable to be able to do it through the command line. Because I'm developing the pipeline to be executed remotely, but for debugging I run it locally.

Using what you showed I can obviously write it, and delete it once it is ready, and rewrite it when I'm debugging or adding features - but I think DX-wise it would be nicer to be able to trigger this functionality through the command line

Exactly

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

If this includes scheduling through pipelines, in my opinion there should be an option to execute a pipeline without an agent. Sometimes for development I just want to execute a pipeline on my local machine just as I would a task...