Examples: query, "exact match", wildcard*, wild?ard, wild*rd
Fuzzy search: cake~ (finds cakes, bake)
Term boost: "red velvet"^4, chocolate^2
Field grouping: tags:(+work -"fun-stuff")
Escaping: Escape characters +-&|!(){}[]^"~*?:\ with \, e.g. \+
Range search: properties.timestamp:[1587729413488 TO *] (inclusive), properties.title:{A TO Z}(excluding A and Z)
Combinations: chocolate AND vanilla, chocolate OR vanilla, (chocolate OR vanilla) NOT "vanilla pudding"
Field search: properties.title:"The Title" AND text
Answered
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:
https://github.com/allegroai/clearml-agent/blob/176b4a4cdec9c4303a946a82e22a579ae22c3355/docs/clearml.conf#L234

  
  
Posted 2 years ago

Ah, gotcha.

  
  
Posted 2 years ago
555 Views
3 Answers
2 years ago
one year ago
Tags