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 Team! Is There A Way To Make Clearml’S Aws Autoscaler And Queues Resource-Aware Please? I.E. If We Can Say, As We Enqueue Our Job, How Much Ram Or Gpu-Ram Or Even Gpus It Needs, Have The Scheduler/Autoscaler Dispatch The Job To Instances That Are Of Th


because a pipeline is composed of multiple tasks, different tasks in the pipeline could run on different machines.

Yes!

. Or more specifically, they could run on different queues, and as you said, in your other response, we could have a Q for smaller CPU-based instances, and another queue larger GPU-based instances.

Exactly !

I like the idea of having a queue dedicated to CPU-based instances that has multiple agents running on it simultaneously. Like maybe four agents.

This is supported.

Do you happen to know if using that script? There is a straightforward way to provide a user-data.sh script?

Yes, this is part of the configuration (there is a CLI based wizard, so should be relatively easy)

  
  
Posted one year ago
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one year ago
one year ago