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
- ModelCheckpoint `every_n_train_steps` and Trainer `accumulate_grad_batches` (kinda) don't make sense
- Automated metric logging in Lightning Trainer
- Interleaved Model for combined_loader
- Add `WandbLogger` callback for customizing checkpoint artifact logging
- Race condition between `AsyncCheckpointIO` and `WandbLogger`
- Periodic checkpoints logged for every epoch to wandb with ModelCheckpoint & WandbLogger
- Support AMP with TPUs
- 'self.current_epoch' always returns 0 when compiling LightningModule
- MLFlowLogger saves copies of ModelCheckpoints
- Edge case causes incorrect filesystem to be selected for finding cloud checkpoints
- Docs
- Python not yet supported