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6 × Eureka!Hi AgitatedDove14 .
That way I loose some execution information, only the execution information from last Task stays logged. That's why I want to keep it as separate tasks under a single pipeline.
I kind of understand the first step -> create the pipeline task, keep it in draft state and save its ID. How do you though pass the ID to the following tasks and have them report to the pipeline (parent) task?
The idea is that I first call script start_new_pipeline.py
, which should just create the pipeline and then I call scripts train_pipeline.py
and evaluate_pipeline.py
which contain the tasks that should belong to the pipeline. However I don't know how start_new_pipeline.py
should look like so that the following tasks would belong the created pipeline.
I'm connected to the managed server, I'm using version 0.3.3.
Hi AgitatedDove14 , the tutorial in the readme of clearml-serving repo doesn't mention it though. Where should I set it?