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
When Starting A Training I Keep Seeing These Messages: Clearml.Model - Info - Selected Model Id: 7Bd69Df73653400197A2Ddb438B2A046 Also Under Artifacts > Input Models A Lot Of Input Models Are Listed. This Is Because I Save Cache Files During Training, The

When starting a training I keep seeing these messages: clearml.model - INFO - Selected model id: 7bd69df73653400197a2ddb438b2a046
Also under artifacts > input models a lot of input models are listed. This is because I save cache files during training, they are saved as .pt files with torch.save

Is it possible to solve this somehow? the cache files are not models

  
  
Posted 2 years ago
Votes Newest

Answers 4


Yes, it did I think that makes sense

  
  
Posted 2 years ago

Hi GreasyPenguin14

  1. Did using auto_connect_frameworks={'pytorch': False} solved the issue? ( I imagine it did )
  2. Maybe we should have the option to have wildcard support so I will only auto log based on filename. Basically using auto_connect_frameworks={'pytorch': "model*.pt"} will only auto log the model files saved/logged , wdyt?
  
  
Posted 2 years ago

Any chance you can open a GitHub issue so we do not forget this feature ?

  
  
Posted 2 years ago

using auto_connect_frameworks={'pytorch': False} now

  
  
Posted 2 years ago