Hi @<1658281112104865792:profile|ExasperatedDove89> , I would suggest going over this doc 🙂
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Hi, I think this is the default behavior but I think you can probably edit the source code ( output_uri parameter of Task.init would be a good lead).

In what format would you like it saved?

Hi SpotlessPenguin79 , can you please elaborate on this?

for non-aws cloud providers?

What exactly are you trying to do?

NonchalantDeer14 , Hi! Cool find! How do does it show in the UI when you execute remotely?

Do you have a small snippet to play with?

Oh LOL 😛

Interesting, how long ago do you figure?

Can you please add a larger chunk of the autoscaler log?

Hi @<1560073997809356800:profile|RotundPigeon65> , I think this is what you're looking for 🙂
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Hi @<1570220852421595136:profile|TeenyHedgehog42> , are you using the latest version of clearml-agent ? Can you provide a stand alone code snippet that reproduces this behavior for you?

RobustFlamingo1 , I think this is because you looked at 'Orchestrate for DevOps' and not 'Automate for Data Scientist'. If you switch to the other option you will see no K8S is required 🙂

I am guessing that the use-case shown there would be more what you're looking for. The K8S is something for larger scale deployments when the DevOps guys set up the system to run on K8S cluster

Hi AbruptCow41 ,

I think you need to call Task.init before creating the argparser args

Dataset.get only fetches the dataset object, it doesn't try accessing files yet. What else are you doing in your code that reproduces your issue?

So I think I'm missing something. What is the point of failure?
ClearML tries to detect the packages you used during the code execution. It will then try to install those packages when running remotely.

Hi DiminutiveBaldeagle77 ,
Yes - https://clear.ml/docs/latest/docs/deploying_clearml/clearml_server_kubernetes_helm/ If you already have K8s cluster it is beneficial since you get scheduling capabilities which are not normally present in K8s

Can you please provide stand alone code snippets that reproduce this behavior?

Hmmm maybe SuccessfulKoala55 can help 🙂

Hi @<1574931903440490496:profile|CrookedBear44> , are you sure you're using the right email? With what email are you registered?

Which container version though?

Hi DepravedCoyote18 , can you please elaborate a bit on what the current state is now and how you would like it to be?

Hi EnthusiasticCoyote30 , in Task.init() you have the output_uri parameter, you can use that to point to your s3 bucket.
For more reading, see here:
https://clear.ml/docs/latest/docs/references/sdk/task#taskinit

Is it possible to do something so that the change of the server address is supported and the pictures are pulled up on the new server from the new server?

Do the links point to a bucket or the fileserver?

AbruptWorm50 , that's strange. I'll take a look as well. What version of clearml are you using?

I think what you're looking for is
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to create the model and connect using
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Also, what happens if you apss it in agent.default_docker.arguments ?

Happy to help 🙂

I think all relevant env variables are in the docker compose. You can spin different APIservers on different machines without elastic/mongo/redis and then point them to the relevant machines that have those services running

Yeah I think you're right. You're basically looking for a capability to segregate users into groups so they won't have visibility between themselves?

Role based access controls are supported only in Scale/Enterprise versions.

Hi @<1531807732334596096:profile|ObliviousClams17> , are you self deployed? Can you please provide the full log?

What happens if you clear the commit and just run with latest master?

Wait I might be missing something. Are you running a self hosted server?