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
Hello Everybody, I Have A Question About Saving Models. I Have A Train.Py Script To Train A Neural Network Using Pytorch. I Am Using Clearml Task For Experimenting Tracking And It Is Doing Very Well. However, I Realized That Clearml Is Saving My Model As

Hello everybody, I have a question about saving models. I have a train.py script to train a Neural Network using pytorch. I am using clearML task for experimenting tracking and it is doing very well. However, I realized that clearml is saving my model as an artifact and its URL is pointing to the lightning logs in my folder. How do I tell ClearML that once training is done, push the model to the AWS server specified in the clearml.config such that other people on my team can access the model directly from AWS?

  
  
Posted 6 months ago
Votes Newest

Answers 2


@<1547028031053238272:profile|MassiveGoldfish6> check this:

  • does your local clearml.conf should use use_credentials_chain:true ?
  • Do you have the needed AWS credentials in your local environment?
  • Do you have an S3 bucket as the storage for your project (did you set this up when you created the project)?
  • Do your local AWS credentials give you write access to that S3 bucket?
  
  
Posted 6 months ago

can you share you clearml.conf file? it should do that automatically if you set the development.default_output_uri key to “s3://{your_bucket}”

  
  
Posted 6 months ago
469 Views
2 Answers
6 months ago
6 months ago
Tags