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
- LightningCLI: --help argument given after the subcommand fails
- ModelCheckpoint Callback not working/saving unless `save_on_train_epoch_end` is enabled True which considerably slows down training
- feat: allow immutable file upload for wandb logger
- Add param_group name for BaseFinetuningCallback
- shortcuts for logging weights and biases norms
- Fix: Make `WandbLogger` upload models from all `ModelCheckpoint` callbacks, not just one
- Support IO Type Checkpoints for trainer.fit() in ckpt_path Parameter
- MLFlowLogger does not save config.yaml for each run
- OnExceptionCheckpoint callback suppresses exceptions and results in NCCL timeout
- Seeding and multi-GPU training
- Docs
- Python not yet supported