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Clearml Pipelines Can Be Build From Tasks, Functions, And Decorated Functions, According To The Examples In


Hi @<1523704157695905792:profile|VivaciousBadger56>
No these are 3 different ways of building pipelines.
Creating from decorators is recommended when each component can be easily packages into a single function (every function can have an accompanying repository).
Here the idea it is very easy to write complex execution logic, basically the automagic does serialization/deserialization so you can write pipelines like you would code python.

Creating from Tasks is a good match if you need to just run Tasks in a DAG manner, where input and outputs are connected, and the execution logic is basically the DAG. It does mean the components (i.e. Tasks) are aware of the way inputs/outputs are passed (i.e. hyper parameters, artifacts / models etc.)

Creating from functions is a middle ground between these two approaches, it is DAG execution where each component is a standalone function (again, you can attach git repository and base docker image per component)

Does that help?

  
  
Posted one year ago
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one year ago
one year ago