I only want to save it as a template so I can later call it in a pipeline

This error just keeps coming back... I already made the watermarks like 0.5gb

AgitatedDove14 ?

Why would I have 0.15.1 if I followed the instructions of the docs?

the Task object has a method called Task.execute_remotely

Look it up here:
https://allegro.ai/docs/task.html#trains.task.Task.execute_remotely

🤞

💪

Also being able to separate their configurations files would be good (maybe there is and I don't know?)

after you create the pipeline object itself , can you get Task.current_task() ?

AgitatedDove14 no I can't... Just checked this. This is a huge problem for us, it used to work before and it just stopped working and I can't figure out why.

It's a problem for us because we made it a methodology of running some tasks under a pipeline task and saving summary iunfo to the pipeline task - but now since Task.current_task() doesn't work on the pipeline object we have a serious problem

CostlyOstrich36

Yes, I have the controller task in hand

but can't right now

I suspect that it has something to do with remote execution / local execution of pipelines, because we play with this , so sometimes the pipeline task itself executes on the client, and sometimes on the host (where the agent is also)

The scenario I'm going for is never to run on the dev machine, so all I'll need to do once the server + agents are up is to add task.execute_remotely... after the Task.init line and after the execution of the script is called on the dev machine, it won't actually run but rather enqueue itself for the agent to run it?

As a part of a repo

AgitatedDove14 just a reminder if you missed this question 😄

That was the issue then

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

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

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

actually i was thinking about model that werent trained uaing clearml, like pretrained models etc

Yes, I'll prepare something and send

it's double weird, because also a task that the pipeline says is "in progress" is actually completed

I was refering to what is the returned object of Task.artifacts['...'] - when I call .get I understand what I get, I'm asking because I want to see how the object I'm calling .get on behaves

Do you have any idea as to why does that happen SuccessfulKoala55

But does it disable the agent? or will the tasks still wait for the agent to dequeue?

AgitatedDove14 all I did was to cerate this metric as "last" and then turned on the "max" and "min" and then turned them off

I can't reproduce it now but:
I restarted the services and it didn't help I deleted the columns, and created them again after a while and it helped

Nope

is this already available or only on github?