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 Everyone, I'M Trying To Execute Trains-Agent In Docker Mode With Conda As Package Manager, Is It Supported? I Tried To Work With Nvidia/Cuda:10.0-Runtime-Ubuntu18.04 And Got The Error "Trains_Agent: Error: Error: Package Manager "Conda" Selected, But '


Hi RattySeagull0

I'm trying to execute trains-agent in docker mode with conda as package manager, is it supported?

It should, that said we really do not recommend using conda as package manager (it is a lot slower than pip, and can create an environment that will be very hard to reproduce due to internal "compatibility matrix" of conda, that might be changing from one conda version to another)

"trains_agent: ERROR: ERROR: package manager "conda" selected, but 'conda' executable could not be located"

This means that the conda package manager does not exist in the docker itself. In most case you can use pip, it will find most of the python packages, and since you are using dockers, you can always select the one with the correct cuda version to match your Tensorflow (if you are using pytorch, trains-agent will automatically pull the correct pytorch version based on the installed cuda version inside the docker)

  
  
Posted 3 years ago
141 Views
0 Answers
3 years ago
one year ago
Tags