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
- 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
- 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
- Docs
- Python not yet supported