FierceHamster54
initing the task before the execution of the file like in my snippet is not sufficient ?It is not because os.system spawns a whole different process then the one you initialized your task in, so no patching is done on the framework you are using. Child processes need to call Task.init because of this, unless they were forked, in which case the patching is already done.
But the training.py has already a CLearML task created under the hood since its integration with ClearMLDoes training.py call functions from the clearml library? If so, what functions and at which stages of the training? Having a task should be enough to save the models appropriately, so something could be bugged in our logging 🫤