@<1719524641879363584:profile|ThankfulClams64> , the Genesis autoscaler feature is currently disabled. You can still use the AWS and GCP autoscalers available though
Hi @<1736556881964437504:profile|HelplessFly7> , I don't think there is such an integration. Currently Poetry, pip and Conda are supported. I think you could make a PR on this for the clearml-agent
WackyRabbit7 , isn't this what you need?
https://clear.ml/docs/latest/docs/references/sdk/automation_controller_pipelinecontroller#get_running_nodes
Hi AbruptHedgehog21 , it looks like you need to parameters.dataset_id on step data_creation
Hi @<1639799308809146368:profile|TritePigeon86> , what is the use case for passing multiple callbacks? Why not have it in the same function simply?
What version of python is the agent machine running locally?
Does it supporttorch == 1.12.1?
RattyLouse61 , looks like a bug, but I didn't have a chance to play with it myself yet. Maybe open a github issue to follow up on this?
I would suggest directly using the API for this. Then simply look at what the web UI sends as a reference 🙂
Hi @<1523702439230836736:profile|HomelyShells16> , I'm afraid that's not really possible since the links themselves are saved on the backend
Hi @<1686547380465307648:profile|StrongSeaturtle89> , yes 🙂
Hi @<1523707653782507520:profile|MelancholyElk85> , I assume you're running remotely?
WittyOwl57 , It determines the user that created the object. What is the sign in method that you and your team are using?
Hi @<1526734383564722176:profile|BoredBat47> , it should be very easy and I've done it multiple times. For the quickest fix you can use api.files_server in clearml.conf
Can you try going to <HOST>/login
Hi @<1590514584836378624:profile|AmiableSeaturtle81> , I believe a hotfix is right around the corner 🙂
Hi @<1576381444509405184:profile|ManiacalLizard2> , can you please elaborate more on your specific use case? And yes, ClearML supports working only with a specific user currently. What do you have in mind to expand this?
Hi @<1752501940488507392:profile|SquareMoth4> , you have to bring your own compute. ClearML only acts as a control plane allowing you to manage your compute. Why not use AWS for example as a simple solution?
Hi @<1523702786867335168:profile|AdventurousButterfly15> , you need to create a new dataset and specify the previous one as a parent 🙂
Hi @<1523702251011444736:profile|ScaryBluewhale66> , I think the only port you need is the one that is allocated to the apiserver
Yes. Run all the pipelines examples and see how the parameters are added via code to the controller.
For example:
None
ProudElephant77 , I think you might need to finalize the dataset for it to appear
Hi @<1610083503607648256:profile|DiminutiveToad80> , I'd suggest using the Datasets feature. But you can however of course upload it as artifacts.
Where are you trying to upload it? Can you provide the full log? Also, a code snippet would help.
Hi @<1523701122311655424:profile|VexedElephant56> , I think is achievable with Slurm + ClearML, however I don't think something like this out of the box exists
From the looks of this example this should be connected automatically actually
https://github.com/allegroai/clearml/blob/master/examples/frameworks/hydra/hydra_example.py
Let me play with it a bit and see if I can find more 🙂
DrabSwan66 Hi!
What version are you trying to install? If the machine in question has an issue installing opencv then the agent will most likely fail as well.
Is there a vital reason why you want to keep the two accounts separate when they run on the same machine?
Also, what if you try aligning all the cache folders for both configuration files to use the same folders?
No way to do that currently, you need to create an automation to remove everything
What do you mean? You can report as many artifacts as you want