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

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

nope - I'm talking about here

https://github.com/allegroai/trains/blob/98ea965e6d0a39019b31e5fec146ab55da0d52e8/trains/storage/manager.py#L41

and the machine I have is 10.2.

I also tried nvidia/cuda:10.2-base-ubuntu18.04 which is the latest

This worked ✔

I'll check the version tomorrow, about the current_task call, I tried before and after - same result

Okay SuccessfulKoala55 , problem solved! Indeed the problem was that there is not .git folder. I updated necessary things to make the checkout action get the actual repo and now it works

It wasn't really clear to me what "standalone" means, maybe it will be better to add to the error

Error: Standalone

(no .git folder found)

script detected 'tasks/hp_optimization.py', but no requirements provided

But what does it do?

That's awesome, but my problem right now is that I have my own cronjob deleting the contents of /tmp each interval, and it deletes the cfg files... So I understand I must skip deleting them from now on

So how do I solve the problem? Should I just relaunch the agents? Because they can't execute jobs now

the ability to exexute without an agent i was just talking about thia functionality the other day in the community channel

and we want to continue xecuting locally

Okay so regarding the version - we are using 1.1.1

The thing with this error it that it happens sometimes, and when it happens it never goes away...
I don't know what causes it, but we have one host where it works okay, then someone else checks out the repo and tried and it fails for this error, while another guy can do the same and it will work for him

I've read that

Thx DangerousDragonfly8 💪

I mean if I continue and build on the example in the docs, what will happen if the training task is completed, and then I get it and log to it? Will it be defined as running again?

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

If you want we can do live zoom or something so you can see what happens

-_- why there isn't a link to source on the docs?

Manual model registration?

I manually deleted the allegroai/trains:latest image, that didn't help either

what if i want it to use ssh creds?

iwhat if

thx martin

cool, didn't know about the PAT

Is there a more elegant way to find the process to kill? Right now I'm doing pgrep -af trains but if I'll have multiples agents, I will never be able to tell them apart

ShinyLobster84

CostlyOstrich36 ⬆

So if I'm collecting from the middle ones, shouldn't the callback be attached to them?

I'll check if this works tomorrow