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Try removing the key/secret from the top section in s3

Hi @<1745616566117994496:profile|FantasticGorilla16> , under the hood the google API is being used - None

Regarding getting machines faster, I think that really depends on availability on Google's side 🙂

Hi @<1559711623147425792:profile|PlainPelican41> , How are you running the pipeline? Where is agent running ?

Hi @<1727497172041076736:profile|TightSheep99> , allegroai package is part of the enterprise and not available publicly, you must be looking at documentation related to the HyperDatasets

Hi @<1734020162731905024:profile|RattyBluewhale45> , are they running anything? Can you see machine statistics on the experiments themselves?

Also, if you open Developer Tools, do you see any errors in the console?

Can you share a screenshot of the workers page?

What version is the server? Do you see any errors in the API server or webserver containers?

If you go into the settings, at the bottom right you will see the version of the server

Hi @<1655744373268156416:profile|StickyShrimp60> , do you have any code that can reproduce this behavior?

FrothyShrimp23 , I think this is more of a product design - The idea of a published task is one that cannot be easily changed afterwards. What is your use case for wanting to often unpublish tasks? Why publish them to begin with? And why manually?

That or a private docker registry

Hi @<1706478691208400896:profile|WearyPelican78> , you can set up a GCP autoscaler for this - None

Sorry, GPUs 🙂

Hi @<1547028031053238272:profile|MassiveGoldfish6> , the expected behavior would be pulling only the 100 files 🙂

What is the artifact URL from the task?

Hi @<1562610703553007616:profile|CloudyCat50> , under the 'execution' tab you have source code section. When in draft mode, you can edit a task and change it from a specific commit ID to latest commit in some branch for example

Hi @<1673863775326834688:profile|SucculentMole19> , Unfortunately the open source does not support any authentication beyond the user/pass option.
If authentication is key, then the enterprise has full SSO integration including RBAC.

They need to switch to your workspace, create credentials on your workspace and then use them instead of their own. Makes sense?

Hi @<1523701842515595264:profile|PleasantOwl46> , I think you can add a PR here - None

Hi @<1523705099182936064:profile|GrievingDeer61> ,

Everything coming from Pytorch should be automatically captured and detected. If there is something extra you want to log and track you can do it using the Logger module None

Specifically I think what you're looking for is:
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Hi @<1523701295830011904:profile|CluelessFlamingo93> , I think you would need to expose those configurations through the pipeline controller and then the tasks would take those configurations and override them with what you inserted into the controller.

Makes sense?

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Hi VivaciousReindeer64 , I think you can simply edit the files_server to point to the correct port 🙂

Hi @<1536881167746207744:profile|EnormousGoose35> , can you take a look at the webserver and apiserver container logs to see what errors are there?

Which config file? The one sitting locally on your computer? You would still need to transmit that data to the application that is spinning the instances up and down. Maybe a CLI? But that would be adding more complexity on top of it. What do you think?

How are you currently setting it up?

I think you also might find this video useful:
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Runs perfectly with Minio too 🙂