I executed it now with full path, using $(pwd)

I'm trying it now

thx! i was looking in the docs and was looking for something like URL/URI now i know why i didnt find it 😅

thx TimelyPenguin76
skimming over this, I can't find how to filter by project name or something similar

Now I remind you that using the same credentials exactly, the auto scaler task could launch instances before

TimelyPenguin76 I think our problem is that the agent is not using this environment, I'm not sure which one he does... Is there a way to hard-code the agent environment?

Hi guys, just updated the issue - seems like the new release did fix the color scale, but I notice some data points are missing (the plot is missing data!)

see my comment on the issue
https://github.com/allegroai/clearml/issues/373#issuecomment-894756446

moreover I think I found a bug

let me repay you with a nice trick

sorry I think it trimmed it

Thanks Martin, code runs as expected

cool the /login worked

Cool - so that means the fileserver which comes with the host will stay emtpy? Or is there anything else being stored there?

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?