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Answered
Clearml Tracks The Executed

ClearML tracks the executed .py file, so you can re-run the experiment. But...

  • With Metaflow DAGs, you pass a run argument to your training script, e.g. python train.py run
  • With Huggingface's accelerate framework, you invoke your training script with, e.g. accelerate launch train.py
    Is there a way to document these non-standard entry points with ClearML so that if we clone/enqueue a task they will be will be executed this way?
  
  
Posted 8 months ago
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Answers 5


Oh duh, thanks. What about non standard entrypoints (as opposed to arguments) like accelerate launch train.py ?

  
  
Posted 8 months ago

do you have your Task.init call inside the "train.py" script ? (and if you do, what are you getting in the Execution tab of the task) ?

  
  
Posted 8 months ago

Hi @<1541954607595393024:profile|BattyCrocodile47> , how does ClearML react when you run the scripts this way? The repository is logged as usual?

  
  
Posted 8 months ago

Is there a way to document these non-standard entry points

@<1541954607595393024:profile|BattyCrocodile47> you should see the "run" in the Args section under Configuration
in case of HF you should see "-m huggingface" and then the rest in the Args section
(if this does not work, then I assume this is a bug 🙂 )
The idea is of course that you can always enqueue and reproduce, so if that part is broken we should fix it 😊

  
  
Posted 8 months ago

Hi! Yes, it just logs the .py file.

  
  
Posted 8 months ago
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