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 Team, I Got An Issue Of

Hello Team, I got an issue of dataloader's workers are out of shared memory using AWS Autoscaler even though I've raised the shared memory to be 64gb in docker arguments. This issue doesn't happen if I use ClearML Autoscaler or set the num_worker to 0. But I do want to have a larger num_worker to max data loading speed. Any clue how to address this issue?
image

  
  
Posted 6 months ago
Votes Newest

Answers 2


Hi @<1597762318140182528:profile|EnchantingPenguin77>
--ipc=host actually means that there is no need for the --shm-size argument, it means you have access to the enitre GPU ram on the host machine. I'm assuming that the GPU card just does not have enough VRAM ...
None

  
  
Posted 5 months ago

None
None

  
  
Posted 5 months ago
357 Views
2 Answers
6 months ago
5 months ago
Tags