How severe does this issue affect your experience of using Ray?
- None: Just asking a question out of curiosity
I’m using Ray Tune with PyTorch Lightning and am a little confused about how the early stopping rules combine. I’m using both ASHAScheduler from Ray and EarlyStopping from PyTorch Lightning.
If I set max_t parameter of ASHAScheduler very high, does the training the best model continue
- until Lightning stops the training?
- until ASHAScheduler stops the training?
- until ASHAScheduler or Lightning stops the training (which ever comes first)?
- until max_t?
I tried reading this guide and docs for ASHAScheduler but couldn’t find answers.