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 list to torch.Tensor injection in yaml config
- best-k-metrics in ModelCheckpoint
- Add learning rate scheduling support for `DeepSpeedStrategy`
- Import error on shutdown/KeyboardInterrupt if ran from Jupyter Lab notebook cell
- Model Checkpointing + FSDP causes Cuda OOM
- `hparams` not loaded when loading checkpoint via LightningCLI
- Save save_hyperparameters no longer respects linked arguments.
- NCCL backend fails during multi-node, multi-GPU training
- `Trainer`'s `.init_module()` context does not initialize model on target device
- The problem shows: version incompatibility from v1.3.x to v2.4
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