Project-MONAI / Project-MONAI/tutorials
Explicit for-loop optimisation or SupervisedTrainer
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- Dominant language
- Jupyter Notebook
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Description
It seems that in the majority of tutorials, the optimisation for loop is given explicitly. In relatively few places, the SupervisedTrainer is used, despite existing for this reason.
I can see why having the explicit for loop is beneficial for tutorials - so that people are more aware of the inner workings. However, for the sake of conciseness, I would be in favour of having just one notebook (named suitably) in which the explicit for loop is given, and then from there on, using the SupervisedTrainer. Notebooks using SupervisedTrainer could then refer to the explicit notebook.
I think @ericspod is in favour of leaving the notebooks as they are, so as not to hide anything (which I understand). Anyone else have an opinion?
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First steps
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Research direction
Review the tutorial notebooks that use explicit optimisation loops and SupervisedTrainer, then compare their instructional roles. Decide whether one notebook should retain the explicit loop and the others reference it; done means the tutorial set follows the chosen consistent approach.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook, pytorch
- Domain
- documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100