meetps / meetps/pytorch-semseg
PolynomialLR always return base_lr
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Description
In the implementation of get_lr() function of Polynomial LR, self.last_epoch % self.max_iter will always be true unless last_epoch > max_iter
https://github.com/meetshah1995/pytorch-semseg/blob/89f4abe180528a69e32ac1217746f68dfafd0e36/ptsemseg/schedulers/schedulers.py#L26-L31
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First steps
- Read the whole issue, then the project's contributing guide.
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Research direction
Start by reading get_lr() in ptsemseg/schedulers/schedulers.py at the referenced lines and reproduce the PolynomialLR behavior across last_epoch values. The work is done when the scheduler no longer always returns base_lr and its learning-rate progression behaves correctly through max_iter.
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Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Clearly specified
- Newbie friendliness
- 45/100