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Hello, Everyone! I Have A Question Regarding Clearml Features. We Run Into The Situation When Some Of The Agents That Are Working On A Hpo Die Due To Variable Reasons. Some Workers Go Offline Or Resources Need Temporarily Be Detached For Other Needs. Thu


Hi AgitatedDove14 I get the reported scalars from the web using
model_task = Task.get_task(task_id=model_task_id) scalars = model_task.get_reported_scalars()then register each of the scalars with something like
logger.report_scalar(title=metric_key, series=series_val['name'], value=y, iteration=x)Then you have reported scalars to which I am able to append rest of the model training reports.
Workers are running across multiple machines and you can monitor if a task is dead by looking at the web page.

  
  
Posted one year ago
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one year ago
one year ago