Hi @<1577468611524562944:profile|MagnificentBear85> , what version of clearml are you using?
Hi @<1547028031053238272:profile|MassiveGoldfish6> , what version of clearml-serving do you have? Can you please add the full terminal outputs for better context?
Hi @<1547028031053238272:profile|MassiveGoldfish6> , I think this is what you're looking for - None
Hi @<1547028031053238272:profile|MassiveGoldfish6> , you would want to use the output_uri parameter of Task.init
Hi @<1875713809079865344:profile|CynicalKitten79> , it indeed looks like a bug. I'd suggest opening a GitHub issue for this!
How did you create the dataset originally, can you share a snippet that reproduces this?
Hello MotionlessCoral18 ,
Can you please add a log with the failure?
From the environment variable
Hi @<1603560525352931328:profile|BeefyOwl35> , can you please elaborate on what you mean by running the build command?
Can you add a full log?
I think that something like that exists, it appears to be done in the paid version called hyper-datasets. The documentation is open for all apparently 🙂
Can you add a bit more from the log for more context as well?
@<1739455989154844672:profile|SmarmyHamster62> , I suggest updating your versions. The server is a bit old
Also a newer version to the serving as well
Hi @<1739455989154844672:profile|SmarmyHamster62> , Are you sure about the version of ClearML? Can you share the entire log of the triton container?
Latest clearml versions in github appears to be around 1.16.3~
Well it sounds like it makes some sense. Try the following on the machine running the agent - In ~/clearml.conf
edit the following section:agent.vcs_cache.enabled=False
ScaryLeopard77 , Hi! Is there a specific reason to the aversion from pipelines? What is the use case?
"continue with this already created pipeline and add the currently run task to it"
I'm not sure I understand, can you please elaborate? (I'm pretty sure it's a pipelines feature)
Hi @<1639074542859063296:profile|StunningSwallow12> , here are the docs for the agent - None
Hi @<1635813046947418112:profile|FriendlyHedgehong10> , can you please elaborate on the exact steps you took? When you view the model in the UI - can you see the tags you added during the upload?
Can I assume you're running the agent (in daemon mode) on the same machine that you're running the clearml-agent daemon --stop command?
Hi @<1533257411639382016:profile|RobustRat47> , can you please add a screenshot of what you're getting?
Do you see any errors in the apiserver on startup or after?
Hi and welcome 🙂
You want to add some plots to the dataset task?
It really depends on how you want to work. The --docker tag will make the agent run in docker mode, allowing it to spin docker containers to run the jobs inside
Hi TrickyFox41 , I'm sorry for the confusion. It appears that the issue is solved in the unreleased version 1.9.2 of the server that should be coming out in the next few days (Thursday or start of next week).
Hi GrittyCormorant73 , can you please provide a standalone snippet with instructions to play with?
What do you mean by dashboard of the admin?