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

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

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

can you fix this?

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

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

suppose, clearml dows not take .gitignore into account
https://github.com/allegroai/clearml/blob/a47f127679ebf5912690f7c3e60791a2daa5c984/clearml/backend_interface/task/repo/scriptinfo.py#L47

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 🙂

or it should be fixed in pigar repo first?

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

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

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?

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

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

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

I found place, where hang up happens

https://github.com/allegroai/clearml/blob/a47f127679ebf5912690f7c3e60791a2daa5c984/clearml/utilities/pigar/reqs.py#L47