Hi, I’M Using

Answered

Hi, I’M Using

Hi, I’m using PipelineDecorator.component to integrate the training task to a big pipeline. How could I turn off model logging when running this training step? (When using Task.init to build a ClearML task, I usually set auto_connect_frameworks ={‘pytorch’: False}.)

Additionally, I wish to use clearml.OutputModel to manually log model during the execution of the training step.

  				
Posted 
	2 years ago

					More
				  		
  Report
		
					GrittyKangaroo27
				
					0
					 × 1

Votes Newest

Answers 5

GrittyKangaroo27 any chance you can open a GitHub issue so this is not forgotten ?
(btw: we I think 1.1.6 is going to be released later today, then we will have a few RC with improvements on the pipeline, I will make sure we add that as well)

  				
Posted 
	2 years ago

					More
				  		
  Report
		
					AgitatedDove14
				
					0
					 × 1

AgitatedDove14 Sure

  				
Posted 
	2 years ago

					More
				  		
  Report
		
					GrittyKangaroo27
				
					0
					 × 1

Thanks!

  				
Posted 
	2 years ago

					More
				  		
  Report
		
					AgitatedDove14
				
					0
					 × 1

AgitatedDove14 This make sense. Hope we can have this argument in the next ClearML version 😄

  				
Posted 
	2 years ago

					More
				  		
  Report
		
					GrittyKangaroo27
				
					0
					 × 1

Hi GrittyKangaroo27

How could I turn off model logging when running this training step?

This is a good point! I think we cannot pass these arguments.
Would this make sense to you?
PipelineDecorator.component(..., auto_connect_frameworks)
wdyt?

  				
Posted 
	2 years ago

					More
				  		
  Report
		
					AgitatedDove14
				
					0
					 × 1

Write your answer

965 Views

5 Answers

2 years ago

one year ago