so basically - if she has new commits locally that werent pushed it won't work

But if she did not commit her latest changes, and now she enqueues - it will work?

What about permissions to the machines that are being spun up? For exampel if I want the instances to have specific permissions to read/write to S3 for example, how do I mange those?

the pipeline was running

AgitatedDove14 just so you'd know this is a severe problem that occurs from time to time and we can't explain why it happens... Just to remind, we are using a pipeline controller task, which at the end of the last execution gathers artifacts from all the children tasks and uploads a new artifact to the pipeline's task object. Then what happens is that Task.current_task() returns None for the pipeline's task...

the link to manual model registry doesn't work

I'm not, just want to be very precise an consice about them when I do ask... but bear with me, its coming 🙂

AgitatedDove14

If the credentials don't have access tothe autoscale service obviously it won't work

😅

Cool, thats more than reasonable!

but nowhere in the docs does it say anything about the permissions for the IAM

so putting the docs aside, what permissions should I give to the IAM associated with trains' autoscale ?

Cool thanks 🤩

?

This is what I meant should be documented - the permissions...

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

I have a single IAM, my question is what kind of permissions I should associate with the IAM so that the autoscaler task will work

AgitatedDove14 since this is a powerful feature, I think this should be documented. I'm at a point where I want to use the AWS autoscaler and i'm not sure how.

I see in the docs that I need to supply the access+secret keys, which are associated with an IAM, but nowhere does it say what permissions does this IAM need in order to execute.

Also using the name "AWS Autoscaler" immediately suggests that behind the scene, trains uses the https://docs.aws.amazon.com/autoscaling/ec2/userguide/wha...

which permissions should it have? I would like to avoid full EC2 access if possible, and only choose the necessary permissions

Where is the docker-compose file? It's not at /opt (again, I didn't place it anywhere, I'm just using the ami)

ShinyLobster84

Can I force it to output the static image?

That's a fix, but I think it is a basic feature and very usefull to see the actual code in the UI

CostlyOstrich36

I see it's a plotly plot, even though I report a matplotlib one

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

this is the df -h output

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

What do you mean by submodules?

She did not push, I told her she does not have to push before executing as trains figures out the diffs.
When she pushes - it works

this