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
Hey Everyone, I'M Setting Up Clearml Agents And Workers With The Open Source Version Within My Org. Was Wondering What Is The Best Way To Handle Different Python Version Requirements For Different Projects?

Hey Everyone, I'm setting up clearml agents and workers with the open source version within my org. Was wondering what is the best way to handle different python version requirements for different projects?

  
  
Posted one year ago
Votes Newest

Answers 4


because, otherwise it becomes a bit of a chicken and egg problem

  • update code
  • git push
  • docker build and push on CI
  • use new docker sha for task execution
  • update code
  • git push
  • repeat?
  
  
Posted one year ago

Hi @<1535069219354316800:profile|PerplexedRaccoon19> , the agent will try to use the relevant python version according to what the experiment ran on originally. In general, it's best to run inside dockers with a docker image specified per experiment 🙂

  
  
Posted one year ago

can I combine docker and poetry mode?

  
  
Posted one year ago

Yes 🙂

  
  
Posted one year ago
697 Views
4 Answers
one year ago
one year ago
Tags