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Anyone Having Problems With Clearml Slowing Down Pytorch Experiments? Auto_Connect_Framework={“Pytorch”: False} Helps, But It’S Not A Great Solution. We Think It’S Related To Clearml Trying To Do Something At Each Dataloader Iteration. We’Ll Try To Provid

anyone having problems with ClearML slowing down pytorch experiments? auto_connect_framework={“pytorch”: False} helps, but it’s not a great solution. we think it’s related to ClearML trying to do something at each dataloader iteration. we’ll try to provide more details after we profile our script, but maybe it’s a known problem?

  
  
Posted 2 years ago
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Answers 16


The repo detection (I assume git?) uses the git command, so .ignore should be taken into account, I think

  
  
Posted 2 years ago

we’re using latest ClearML server and client version (1.2.0)

  
  
Posted 2 years ago

Well, I'll take a look and get back to you 🙂

  
  
Posted 2 years ago

Hey, looks like we found something. Actually the parameter which 'controls' slowing down is detect_repository . We think that it may be caused by lots of files in repo (data folder). Do you use .gitignore file when detecting repo?

  
  
Posted 2 years ago

can you fix this?

  
  
Posted 2 years ago

SuccessfulKoala55 sorry for the bump, what's the status of the fix?

  
  
Posted 2 years ago

DilapidatedDucks58 , We have a hunch we know what's wrong (we think we treat loading data like loading model and then we register each file \ files pickle as a model which takes time). How are you loading data? Is monai built inside pytorch? Or are you downloading it and loading manually? If you can share the loading code that might be helpful 🙂

  
  
Posted 2 years ago

or it should be fixed in pigar repo first?

  
  
Posted 2 years ago

it’s a pretty standard pytorch train/eval loop, using pytorch dataloader and https://docs.monai.io/en/stable/_modules/monai/data/dataset.html

  
  
Posted 2 years ago

stack trace
project_import_modules, reqs.py:46 extract_reqs, __main__.py:67 get_requirements, scriptinfo.py:49 _update_repository, task.py:298 _create_dev_task, task.py:2819 init, task.py:504 train, train_loop.py:41 <module>, train.py:88

  
  
Posted 2 years ago

Some info on the script (pseudo-code?) will be appreciated 🙂

  
  
Posted 2 years ago

Oh, I see. It's actually the pigar embedded in clearml

  
  
Posted 2 years ago

That's fine 🙂 we haven't got to it yet, I'm afraid - I think the best way is to open a GitHub issue...

  
  
Posted 2 years ago

In any case, there's a 10sec timeout for this process, and you can simply choose not to do the detection

  
  
Posted 2 years ago
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