Hi @<1569496075083976704:profile|SweetShells3> , yes, it will remove all related documents both from ES & Mongo

Hmmmm, fair point.

Can you  curl http://10.3.19.183:8008  from your workstation?

https://clear.ml/docs/latest/docs/deploying_clearml/clearml_server_mongo44_migration
Looks like what you might need 🙂

Let me see if I can find it

What do you get when you call get_configuration_objects() now?

SharpHedgehog60 hi!

All passwords/secrets can be kept in ~/clearml.conf on the relevant machine.

Is this what you meant?

You're running your experiment from pycharm? Are you using the same environment in pycharm for all your experiments and you want the task to take packages from your 'agent' environment?

Interesting, what version are you running?

Hi DistinctShark58 , what do you mean dashboard? You can add some visualization on top of Datasets or you can fully visualize coco annotated dataset with the HyperDatasets

Hi @<1715900788393381888:profile|BitingSpider17> , you need to set it in the environment where you are running the agent. Basically export it as an env variable and then run the agent

EnviousPanda91 , you can use tasks.get_by_id . I think the commit ID should be there in the data section

Hello FuzzyMole65 , what do you see in compare currently?

Can you give a small snippet to reproduce these scalers?

Hi @<1544853721739956224:profile|QuizzicalFox36> ,
You can use StorageManager.download_file() to easily fetch files.
None

You can try, but I don't think so.

Hi GiganticKoala17 , can you please elaborate?

LethalCentipede31 , Hi 🙂

What did you run?
Also, how did you configure your credentials?

Hi @<1546303277010784256:profile|LivelyBadger26> , when you run the agent, you can specify which CPUs to use using the --gpus argument like you used

Cant you paste the output until the stuck point? Sounds very strange. Does it work when it's not enqueued? Also, what version of clearml-agent & server are you on?

Why do you want to keep containers running after the code finished executing?

Hi @<1635088270469632000:profile|LividReindeer58> , I would investigate the pipeline controller + all the steps

WackyRabbit7 what version of clearml server did you install? Try changing the URL of the browser to <HOST>:8080/login instead of <HOST>:8080/dashboard.

It's an issue that was solved recently, not sure if the fix is out yet 🙂

GrittyCormorant73 , K8s deployment will have easier time to spin up agent instances to run the tasks 🙂

How would the ec2 instance get the custom package code to it?

Hi RoundMosquito25 , where is this error coming from? API server?

Hi @<1547028031053238272:profile|MassiveGoldfish6> , I think you can access the description by fetching the dataset and searching inside the different attributes. You can use dir() in python to see what's attached. I think you can look for Dataset.data after you fetch it

JitteryCoyote63 , thanks for the heads up, we'll look into it 🙂

Hi GloriousPenguin2 , how did you try to modify it? From the code it looks like it's expecting a configuration and it will sample it once every few minutes

Yeah I see what you're saying. It doesn't keep it's type. This might be a bug.

Hi @<1681836303299121152:profile|RoundElk14> , I suggest watching this - None