Is it hosted by you or is it app.clear.ml ?
Hi @<1576381444509405184:profile|ManiacalLizard2> , I think the correct format is PACKAGE @ git+ None
Hi @<1717350332247314432:profile|WittySeal70> , can you provide a simple standalone example that reproduces this behavior? Also please provide full logs of the controller + step
What version of ClearML are you using?
Hi @<1523702496097210368:profile|ScantChimpanzee51> , that information is saved on the task object. You can fetch it either with the API or the SDK
Hmmm, maybe you could save it as an env var. There isn't a 'default' server per say since you can deploy anywhere yourself. Regarding to check if it's alive, you can either check ping it with curl or check up on the docker status of the server 🙂
Hi SourLion48 , from what I understand it will log debug samples from all iterations, but it will only save X samples per iteration is saved to the server. You can change that is with max_history in https://clear.ml/docs/latest/docs/references/sdk/logger#report_media
Hi @<1529271085315395584:profile|AmusedCat74> , thanks for reporting this, I'll ask the ClearML team to look into this
Hi @<1709015393701466112:profile|ScatteredPeacock14> , please open a GitHub issue for this to follow up on!
RipeAnt6 , you have to manage your storage on the NAS yourself. We delete data only on the fileserver.
However, you could try mounting the NAS to the fileserver docker as a volume and then deletion should also handle files on the NAS 🙂
Hey, maybe AgitatedDove14 or ExasperatedCrab78 can help
Hi @<1590514584836378624:profile|AmiableSeaturtle81> , did you try the solution in GitHub? Did it not help?
Hi @<1618418423996354560:profile|JealousMole49> , I think you would need to pull all related to data via the API and then register it again through the API.
Hi EcstaticMouse10 , what was your previous version?
Also, what if you try to specify id's instead of names?
Maybe SmugDolphin23 or AppetizingMouse58 might have some insight into this since behavior of Datasets changed in the last year I think
Hi @<1546303269423288320:profile|MinuteStork43> , how did you set the apiserver in clearml.conf ?
Is there a firewall in between or something stopping the connection?
When you say local machine you mean you're trying to access the UI / BE from the same machine you're running the server?
UnevenDolphin73 , interesting idea! Could you open a github issue to track this?
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.
SmugTurtle78 , regarding the CPU only mode - How are you running. Are you using the application in PRO version or are you running through one of the examples?
Hi @<1709015393701466112:profile|ScatteredPeacock14> , can you provide a sample script that reproduces this behavior? What version of the SDK are you using?
Hmmmm this looks like what you're looking for:
https://clear.ml/docs/latest/docs/references/sdk/automation_controller_pipelinecontroller#stop-1
Tell me if this helps 🙂
How are you writing your pipelines?
How are you trying to log the dataset? Can you provide the full error message please?
Hi @<1590514584836378624:profile|AmiableSeaturtle81> , did you have a chance to try out the solution suggested in GitHub and play with it a bit?