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Hi, I’M Trying Out Clearml Pipelines From Decorators, And I’M Encountering A Few Problems I Don’T Know How To Solve.


I understand I can change the docker image for a component in the pipeline, but for the

it isn’t possible.

you can always to Task.current_task.connect() from the pipeline function itself, to connect more configuration arguments you basically add via the function itself, all the pipeline logic function arguments become pipeline arguments, it's kind of neat 🙂 regrading docker, the idea is that you use a very basic python docker (the default for services) queue for all the pipeline logic, that said, inside the pipeline function you can call Task.current_task.set_base_docker() and set the base docker to be used. The only caveat is that you first have to run it locally.
It might be a good idea to add docker option to the decorator itself regardless, like we have in the component, wdty?

  
  
Posted one year ago
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one year ago
one year ago