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
- Error when logging to MLFlow deleted experiment
- Need a strategy to gather and compute validation loss on the whole validation dataset
- Error: torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate more than 1EB memory
- MLFlow ResponseError('too many 500 error responses') if try to log to deleted experiment
- MisconfigurationException use cases
- Change `optimizer` or `lr_scheduler` in resuming training without removing the `global_step` information
- Tensorboard Logger is flushed on every step
- stateful dataloaders do not load their state_dict if self.trainer.estimated_stepping_batches called beforehand
- updated model_checkpoint.py to add the facility of retaining periodic checkpoints
- pytorch_lightning.utilities(module) and lightning_utilities (package)
- Docs
- Python not yet supported