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
- MLFlowLogger does not save config.yaml for each run
- OnExceptionCheckpoint callback suppresses exceptions and results in NCCL timeout
- Seeding and multi-GPU training
- Checkpoint callback run before validation step - stale or none monitor values considered for validation metrics
- trainer test and validate have issues with autograd
- trainer.validate() get different result from trainer.fit
- Trainer does not switch to train mode after validation step
- loss spikes in validation step when the model has multiple losses applied
- docs: fixed the `init_module` and deepspeed
- False positive iterable dataset warning for LitData StreamingDataset
- Docs
- Python not yet supported