lightning
https://github.com/lightning-ai/lightning
Python
Deep learning framework to train, deploy, and ship AI products Lightning fast.
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- Issues
- 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
- Downloading artifacts with wandblogger in DDP case failing on non-zero rank processes
- Docs
- Python not yet supported