ClearML FAQ | Hello, I'M Running A Ml Training Using

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Hello, I'M Running A Ml Training Using

Hello,
I'm running a ML training using PipelineDecorator . And It seems to be logging every model update (each epoch til over 100). The time for uploading the model takes longer than what training takes in my case.
I've tried to disable it by specifying monitor_models option values ( None , ['something-never-match'] , [] ) but nothing made it work.
how can I disable the auto model logging in a pipeline?

  				
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	2 years ago

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					FancyWhale93
				
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Thank you. AgitatedDove14 auto_connect_frameworks worked nicely.

  				
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					FancyWhale93
				
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Hi FancyWhale93 you can disable the auto model uploading with
@PipelineDecorator.component(..., auto_connect_frameworks={'pytorch': False}) def step(): pass

  				
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