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
- Call configure_module before freeze_before_training
- Why only one GPU is getting used in the kaggle kernel
- When interrupting a run with Ctrl+C, sometimes the WandbLogger does not upload a checkpoint artifact
- Weird error while training a model with tabular data!!!! Some problem related self.log_dict
- Log default metrics
- `seed_everything(..., workers=True)` causes the `Dataloader` to apply exactly the same augmentations each epoch if they sample values from `torch.distributions`
- update dataset at "on_train_epoch_start", but "training_step" still get old data
- How to deal with uneven inputs in DDP with sharded data without hanging
- FSDP full state dict mangles fsspec path
- put the monitor metric into default filename for ModelCheckpoint
- Docs
- Python not yet supported