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
Hi, I Am Wondering Is There Anyway To Use Clearml Agent Without Setting Up The Environment, For Example, Do Not Enforce The Git Clone And Pip Install But Cd Some Dir And Activate An Environment?

Hi, I am wondering is there anyway to use clearml agent without setting up the environment, for example, do not enforce the git clone and pip install but cd some dir and activate an environment?

  
  
Posted 6 months ago
Votes Newest

Answers 8


@<1523701070390366208:profile|CostlyOstrich36>

  
  
Posted 6 months ago

Cuz in my servers, conda and running folder is mounted, but I would like to run it across servers. E.g., there are two servers that is already conda env and code ready.

  
  
Posted 6 months ago

@<1654294834359308288:profile|DistressedCentipede23> , can you please elaborate on the exact workflow you want to build?

  
  
Posted 6 months ago

Like and pull command and run it

  
  
Posted 6 months ago

Hi @<1654294834359308288:profile|DistressedCentipede23> , do you mean completely circumventing that basic function of the agent and simply pointing it to a specific script/env?

  
  
Posted 6 months ago

right, just pull the command and run it

  
  
Posted 6 months ago

@<1523701070390366208:profile|CostlyOstrich36>

  
  
Posted 6 months ago

In my understanding, the current clearml-agent will

  • pull the code, env file and command
  • clone the git repo
  • setup the env using the venv
  • run the command on git repo with venv.
    I am checking if it is possible that only pull the command, since the code base and conda env is shared across all the server.
  
  
Posted 6 months ago
328 Views
8 Answers
6 months ago
6 months ago
Tags