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
- Returning None from training_step with multi GPU DDP training
- Loss does not decrease on single TPU
- Load callback states while testing.
- Support uneven DDP inputs with pytorch model.join
- Resuming should allow to differentiate what to resume (steps/opti/weights)
- Training with Large Dataset Causes Infinite Stall
- Mixed precision: scheduler and optimizer are called in the wrong order
- Progress bar doesn't show up on Kaggle TPU with `num_workers` greater than `0`.
- DDP (multi GPU) Iterable Dataset is not working as expected ?
- DDP with 2 GPUs doesn't give same results as 1 GPU with the same effective batch size
- Docs
- Python not yet supported