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Unanswered
Hi. We Are Building A Pipeline. For This, We Try To Get Access To Artefacts From Preceding Tasks In The Pipeline, Via Their Task Id, Like Hpo_Task = Task.Get_Task(Task_Id=Hpo_Task_Id) But These Seem Not To Work Reliably, Presumably Because It Is Not Guara


here is another failure which sometimes occurs along the pipeline: Launching step [model_training]
Launching step: model_training
Parameters:
{'kwargs/pipe_task_id': '6818423a08684b0d9972c92e5e38d6bc', 'kwargs_artifacts/dataset_id': '${version_dataset.id}.dataset_id', 'kwargs_artifacts/hpo_task_id': '${hyperparameter_optimization.id}.task_id'}
Configurations:
{}
Overrides:
{}
ClearML results page: None
Traceback (most recent call last):
File "/tmp/tmpkkna_wjn.py", line 83, in <module>
kwargs[k] = parent_task.get_parameters(cast=True)[return_section + '/' + artifact_name]
KeyError: 'return/task_id'
ClearML Monitor: GPU monitoring failed getting GPU reading, switching off GPU monitoring
Launching the next 0 steps
Setting pipeline controller Task as failed (due to failed steps) !

  
  
Posted 12 months ago
122 Views
0 Answers
12 months ago
11 months ago