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
- `automatic_optimization=True` will terminate the training process after few iterations.
- Stepwise LR-Scheduler not working across epochs
- Error using lightning 2.0 when i use deepspeed and torch.compile both
- An example for knowledge distillation. Especially for the load the teacher model's weights , and train the student model
- TensorboardLogger not handling remote filesystem paths correctly on Windows environment
- Update deepspeed activation checkpointing docs
- Allow to modify nested parameters with LightningCLI
- Add return code/text for the "reason" early stopping occured
- Wandb checkpoints are not logged in experiment's directory
- `self.log` in `on_*_epoch_end` defaults to step=global step rather than step=epoch
- Docs
- Python not yet supported