GiganticTurtle0 , are you using the latest release or the RC?
You can always delete the data. Each folder in /opt/clearml/data/fileserver/
represents the stored outputs of an experiment. If you no longer need the files you can delete them
This looks more appropriate if the username itself is "ubuntu"
Can you please provide full logs of everything?
It is reported as a plot, not an artifact 🙂
Hi @<1554638160548335616:profile|AverageSealion33> , if you must have some separation between dev and prod it would be a good idea. Can you elaborate on what you mean regarding clearml features?
No 🙂
Just remember to follow the upgrade instructions
Hi @<1753589101044436992:profile|ThankfulSeaturtle1> , not sure I understand what you mean. Can you please elaborate?
Hi @<1554638160548335616:profile|AverageSealion33> , can you add a log with and without git? What is the use case - why do you want to remove git? And just making sure - this is run through agent?
I think you should monitor your tasks and see what's going on. Also an agent should be set up in a way that you know it will work and has all the required drivers etc..
Hi @<1536881167746207744:profile|EnormousGoose35> , can you take a look at the webserver and apiserver container logs to see what errors are there?
Hi @<1547028074090991616:profile|ShaggySwan64> , how are you currently saving models? What framework are you using? Usually the output models are listed in the 'artifacts' section of a task and on the model side, there is the 'lineage' tab to see which task created the model and what other tasks are using it as input.
Strange, maybe @<1523703436166565888:profile|DeterminedCrab71> might have an idea
Hi @<1817731748759343104:profile|IrritableHippopotamus34> , I think it should be safe.
It's handled by a separate process, my guess that it will start downloading other chunks of the data or just wait for the original process.
Hi @<1523701083040387072:profile|UnevenDolphin73> , all the scalars plots etc are saved on Elastic
Hi @<1753589101044436992:profile|ThankfulSeaturtle1> , what sort of materials do you think you're missing?
You also have onboarding videos there, I suggest you review all videos.
Hi @<1655744373268156416:profile|StickyShrimp60> , is it possible you're using different ClearML SDK versions?
Can you please clarify? What does torch.nn.Module
hold within? Isn't it just the weights configuration?
The metadata would relate to the entire dataset.
For your use case I think what's relevant is HyperDatasets
Hi FlatOctopus65 , are you trying to run on the same machine or a different one?
Hi @<1590514584836378624:profile|AmiableSeaturtle81> , please try to keep your messages to a single thread and not spamming the main channel on the same topic 🙂
Click the little cogwheel on the top right as shown in the screenshot. It will open a menu and one of the options is to add custom metrics 🙂
And you use the agent to set up the environment for the experiment to run?
Hi PunyWoodpecker71 , what are you trying to do?
Do you have K8s?
Hi @<1569496075083976704:profile|SweetShells3> , and how do you expect to control the contents of the file? Via the UI or to upload it and then run the pipeline?
Can you please elaborate further or add some information on how you've reached this situation?
What do you mean by dashboard of the admin?