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
Hi, Part Of The Ml Pipeline I'M Working On Temporarily Stores Intermediate Features Using

Hi, part of the ML pipeline I'm working on temporarily stores intermediate features using torch.save . ClearML detects it and automatically uploads to my remote storage, however, I only want my model checkpoints to be uploaded there. Is there a way to individually disable this upload, without overriding the upload of my model checkpoints (via torch.save as well)?

  
  
Posted 2 years ago
Votes Newest

Answers 3


Aight gotcha. Thanks a lot!

  
  
Posted 2 years ago

OK, there appears to be a github issue relating this:
https://github.com/allegroai/clearml/issues/388
I was right regarding encountering this before. People have asked for this feature and I think it appears to be a priority to add as a feature.

You can circumvent auto logging with the following:
task = Task.init(..., auto_connect_frameworks={'pytorch': False})However you will need to log other models manually now. More information is in the github issue 🙂

  
  
Posted 2 years ago

I think I've encountered something related to this. Let me take a look at the docs

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