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
- AttributeError: module 'pytorch_lightning.callbacks' has no attribute 'ProgressBarBase'. Did you mean: 'ProgressBar'?
- Using the MLflow logger produces Inconsistent metric plots
- (4/n) Support 2D Parallelism - Loading optimizer states correctly
- Remove redundant code to set the device on the LightningModule
- Possible bug in recognizing `mps` accelerator even though PyTorch seems to register the `mps` device?
- Error loading a saved model to run inference (using ddp_notebook strategy)
- (3/n) Support 2D Parallelism - Efficient loading of full-state checkpoints
- Resume training, how to change learning scheduler?
- Added some more potentially robust ways to do learning rate tuning
- Add dog has an error: FileNotFoundError:
- Docs
- Python not yet supported