I don't think so, might be a cool feature. Maybe open a GitHub feature request 🙂
Hi HugeArcticwolf77 , did you spin new agent versions? What did you have before and what do you have now? Can you check if you revert to the previous version it works out?
My guess you'd have to contact ClearML directly via the website
Hi @<1523701260895653888:profile|QuaintJellyfish58> , in the code example, you can simply set recurring=False and I think that should do it.
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ClumsyElephant70 , I'm not sure. There usually a roadmap provided on our community talks so it'd be great if you joined next time to see what's next 🙂
Hi ApprehensiveSeahorse83 ,
Please try editing your Task.init() to the following Task.init(..., output_uri=True) please tell me if this helps 🙂
Can you please provide a screenshot of how it looks?
Hi SoreHorse95 , I'm not sure I understand. You know the reason for the failure and you say that the machines are identical but they do have different versions cached. Why is the one with the different version failing actually?
Hi FlatOctopus65 , are you trying to run on the same machine or a different one?
Hi @<1748153283605696512:profile|GreasyPenguin24> , you certainly can. CLEARML_CONFIG_FILE is the environment variable that allows you to use different configuration files
Here is an example for auto cleaning. Did you delete ALL experiments?
Are you running on a self hosted ClearML server or the SaaS?
For example artifacts or debug samples
How are you running the agent? Is it an ec2 machine or bare metal you have?
Hi @<1590514584836378624:profile|AmiableSeaturtle81> , what version of clearml-agent are you using? Can you provide a full log of the run?
I think you can set this code wise as well - https://clear.ml/docs/latest/docs/references/sdk/task#taskforce_requirements_env_freeze
did you setup agent.git_pass & agent.git_user in clearml.conf ?
How about this by the way?
https://clear.ml/docs/latest/docs/references/sdk/model_outputmodel#outputmodelset_default_upload_uri
Hi @<1840924578885406720:profile|VictoriousFish46> , how are you uploading the dataset? Did you set output_uri? What is set as your files server in the api section of your clearml.conf ?
The webUI uses the API for everything, I'd suggest using the webUI as a reference to how to approach this.
Also please try a different station from scratch. Again I suspect something is misconfigured in your environment
I am not familiar with that. In the SDK you have the StorageManager to help you with downloading files.
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Hi @<1806135344731525120:profile|GrumpyDog7> , what about the load on the server itself? Also, are you downloading from the files server or from some arbitrary source?
Did you check permissions?
If you go to settings, the versions should appear at the bottom right
Hi @<1546303293918023680:profile|MiniatureRobin9> , if you use pipelines from decorator your can certainly set if statements to decide where/how to go