Yep, the pipeline finishes but the status is still at running . Do we need to close a logger that we use for scalers or anything?
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Hey,
Hey,
I'm trying to build a clearml pipeline using decorators. My training script includes two modules(.py files) that's stored locally. This however causes an error with clearml as I suppose it creates separate environments for each function. Is there any solution to include local .py files? (Apart from explicitly creating a module)
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