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
Hey All! Great Job On Clearml By The Way


Hi LazyTurkey38 !
Thanks for you kind words 🙏

my understanding is that the commit hash is picked up and any diff from the remote branch will be applied. Is that correct??

Correct 🙂 - do can get some control of this process or override it, if you'd like, but that's the default behavior.

Are the only two options for setting up the right environment for a Task either docker or git+pip?

You can have your ClearML Agent run the code in docker, based on some image you choose (or a default image, or even a complete standalone, prebuilt image you can build using the Agent), or you can have your ClearML Agent run the code in a virtual python environment. In both cases (unless you use a standalone image) the task's requirements and code are installed in the execution sandbox (venv inside the docker, or just the venv) and executed there.

Do you support caching of git that evolves with the code base to speed it up?

Yes 🙂 - ClearML Agent has both a venv cache and a cvs cache, so you can get a speedup rather quickly 🙂

  
  
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