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"
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PanickyBee11
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2 Questions, 6 Answers
  Active since 17 April 2023
  Last activity 10 months ago

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6 × Eureka!
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3 Answers
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Is it possible to run in offline mode and still save the machine monitoring metrics? By default it is monitored for me in online mode but not in offline mode.
10 months ago
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9 Answers
535 Views
0 Votes 9 Answers 535 Views
Hi, I’m training on multi-node, clearml captures only a single machine utility (memory/cpu/etc.). I assume it captures node 0. Is there a way to make it repo...
11 months ago
0 Hi, I’M Training On Multi-Node, Clearml Captures Only A Single Machine Utility (Memory/Cpu/Etc.). I Assume It Captures Node 0. Is There A Way To Make It Report All Nodes?

It's launched with torchrun https://pytorch.org/docs/stable/elastic/run.html

I think prefix would be great. It can also make it easier for reporting scalars in general (save the users the need to manually add the rank label). It can also be great to support adding the average of all nodes at the UI level, currently we need a barrier to sync all nodes before reporting a scalar which makes it slower.

11 months ago
11 months ago