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
- 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
- --hf_deepspeed_save flag to use Hugging Face Deepspeed logic and no configure_optimizers if optimizer/scheduler defined
- Any plans in adding support for DeepSpeedHybridEngine
- CUDA Streams for parallel sub-module training
- Last 2 entries on How to page are not in alphabetical order
- Docs
- Python not yet supported