Hi @<1787653566505160704:profile|EnchantingOctopus35> , what are you running?
Hi @<1618780810947596288:profile|ExuberantLion50> , can you please a code snippet that reproduces this?
Hi QuaintJellyfish58 , you mean like through conda?
Hi @<1749965229388730368:profile|UnevenDeer21> , I think this is what you're looking for
None
I don't believe this is part of the open documentation. In the enterprise there is an admin panel, SSO integration and RBAC on top of all the user management system. All of this is managed via an API like everything else in the system.
May I ask why you need docs on this?
You ran the same exact command for agent one with --docker and one without --docker and the one without managed to reach the files?
Hi FierceHamster54 , can you please elaborate on the process with a more specific example?
Hi @<1748153283605696512:profile|GreasyPenguin24> , you certainly can. CLEARML_CONFIG_FILE is the environment variable that allows you to use different configuration files
Regarding viewing the datasets - Can you give an example? I'm not sure I understand how you'd like to view it
Regarding Publish vs Finalize - I think finalize uploads all the files and prepares it for publish. Once published, it should be accessible to other parts(tasks) in the system
Hi @<1614069770586427392:profile|FlutteringFrog26> , if I'm not mistaken ClearML doesn't support running from different repoes. You can only clone one code repository per task. Is there a specific reason these repoes are separate?
Can you please provide a standalone code snippet that reproduces this behaviour?
LackadaisicalHedgehong78 , the issue doesn't seem to reproduce on my end with 1.5.0. Can you try upgrading your server?
I just want to verify that it took affect because from my experience the method is task.set_base_docker(docker_image="python:3.9-bullseye")
Hi LackadaisicalHedgehong78 . It seems that someone/something sent a command to delete a bunch of tasks. Do you have backups?
Hi @<1664079296102141952:profile|DangerousStarfish38> , regarding your first question - You need to finalize the dataset.
Regarding the second, my suggestion would be to expose the selected dataset via a hyperparameter. One example would be through argparser
What is your use case?
VexedCat68 , thanks for the update 🙂
Hi, how do you connect your configs currently?
You mean you'd like to be able to connect/create configuration objects via UI?
Hi @<1715900788393381888:profile|BitingSpider17> , I think this is what you're looking for - None
RoughTiger69 , can you please elaborate a bit on your use case?
Hi @<1576381444509405184:profile|ManiacalLizard2> , is there a specific reason you're running the agent inside a docker container instead of running the agent in docker mode which would make it spin up a container?
Hi @<1706478691208400896:profile|WearyPelican78> , you can set up a GCP autoscaler for this - None
How did you configure the files_server in clearml.conf ?
Hi @<1566596960691949568:profile|UpsetWalrus59> , it seems you are correct. Can you please open a github issue to follow up on this? I'm sure it should be fixed fairly quickly 🙂
Please check the task__trash collection in mongodb backend database. If you find all your tasks there then someone indeed deleted them
You need to inspect the ES container directly
And as I mentioned the only difference is that it's being cloned & enqueued from different users basically?
I think the best way would be to use the APIClient to get the project name
Hi @<1570220858075516928:profile|SlipperySheep79> , you can set various cache limitations in clearml.conf . The issue you encountered is specifically regarding Datasets? If that is the case, I think this is the section that you're looking for - None
