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Hi All, I Am Trying To Expand Our Training Infrastructure Using Clearml-Agents, I Have A

Hi all,
I am trying to expand our training infrastructure using Clearml-agents, I have a train_example script that I want an agent to be able to pick up and execute. However, the configuration of the hyperparameters of this train script is in the Task, which I can't seem to retrieve easily. The examples on the website all mention Task.get_task(project_name, task_name), but these variables are different from one execution to the next (and also defined in the configuration) and when I call Task.current_task() in my script it comes up None . The way that we currently retrieve our task is Task.init(continue_last_task=True) but this seems like a roundabout way of doing it. Has anybody found a more elegant solution to this?

  
  
Posted 4 months ago
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Thanks! I did not know that, I think I can write some logic with that in mind

  
  
Posted 4 months ago

Hi @<1822805241150574592:profile|ShinySparrow39> , when running a task remotely using an agent, the way your code gets it's task I'd is by using Task.init(). When running remotely, the actual arguments to this call do not matter.

  
  
Posted 4 months ago
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4 months ago
4 months ago
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