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Ok, We'Ve Got A Gpu Queue Setup On One Of Our Local Machines. I Managed To Run A Script On It, Which Was Intended To Download A Clearml Dataset Stored In S3. But I"M Getting This Error:

OK, we've got a GPU Queue setup on one of our local machines. I managed to run a script on it, which was intended to download a clearML dataset stored in s3. But I"m getting this error:
clearml.storage - ERROR - Failed creating storage object s3://<our bucket> Reason: Missing key and secret ... ValueError: Storage access failed: s3://<the url to our S3 bucket with the dataset in it>... how would we set up our Queue to input the key/secret, exactly?

Posted 2 years ago
Votes Newest

Answers 3


Posted 2 years ago

Hi SmallDeer34
The clearml-agent has its own cleaml.conf file , there you should put S3 credentials and they will be passed to any Task the agent executes:

Posted 2 years ago

Ah, gotcha.

Posted 2 years ago
3 Answers
2 years ago
one year ago