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
- Add return code/text for the "reason" early stopping occured
- Wandb checkpoints are not logged in experiment's directory
- Logged monitor value for train_loss after early stopping does not match the stopping criteria
- Allow to modify nested parameters with LightningCLI
- Update deepspeed activation checkpointing docs
- Should Fabric have a `.mark_step()`?
- lightning version is the SLURM job number when run on a node provisioned by SLURM
- Refactor LearningRateMonitor
- TensorboardLogger not handling remote filesystem paths correctly on Windows environment
- An example for knowledge distillation. Especially for the load the teacher model's weights , and train the student model
- Docs
- Python not yet supported