I Have An Inference Task In Clearml Where I Apply A Model (Defined In Input Params) To A Dataset. Clearml Registers The Model As An Input Model, Which Is Nice. But When I Clone The Task And Modify Input Param To Apply Another Model To The Same Dataset, Th

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I had a bunch of training tasks each of which outputted a model. I want to apply each one of them to a specific dataset. I have a clearml task ( apply_model ) for that, which takes dataset_id and model-producing task_id as input. First time I initiate apply model by hardcoding ids and starting the run from my machine (it is then goes into cloud, when it reaches execute_remotely )

  				
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	2 years ago

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					FiercePenguin76
				
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2 years ago