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
Unanswered
Hi. I'D Like To Try The Gcp Autoscaler.


TimelyPenguin76 , CostlyOstrich36 thanks again for trying to work through this.

How about we change approach to make things easier?

Can you give me instructions on how to start a GCP Autoscaler of your choice that would work with the clearml pipline example such as the one I shared earlier https://clearml.slack.com/files/U03JT5JNS9M/F03PX2FSTK2/pipe_script.py ?

At this point, I just want to see an autoscaler that actually works (I'd need resources for the two queues, default and services that pipleines use and I don't mind whether or not they have gpus at this stage)

  
  
Posted 2 years ago
160 Views
0 Answers
2 years ago
one year ago
Tags