pytorch-lightning
https://github.com/pytorchlightning/pytorch-lightning
Python
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
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- Issues
- Deadlock on `log_dict` with different keys across ranks
- Cannot call self.log in evaluation_hooks after using trainer.predict, even if using a new trainer object.
- Deepspeed Stage 3 crashes Lightning trainer
- Cannot open docs & forum on official site from Russia
- [NEPTUNE] Optimize uploading k-best model checkpoints
- Loggers fails to create metrics.csv file when running on multiple TPU cores
- Add support to `saving.py` for loading GPU-trained models on CPU-only machines
- `Trainer.validate()` after `Trainer.fit()` not working with FSDP and `auto_wrap_policy`
- Add `best_model_metrics` to `ModelCheckpoint` callback
- Docs style renders unreadable yaml code snippets
- Docs
- Python not yet supported