pytorch-lightning
https://github.com/pytorchlightning/pytorch-lightning
Python
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
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- Issues
- Registered buffers not moved to correct device when using DeepSpeed Stage 3
- Shuffle order is the same across runs when using strategy='ddp'
- LearningRateMonitor broken on MPS backend with Apple silicon
- Mixed precision, ddp and torch.no_grad()
- Cannot turn off sampler injection at inference time.
- Checkpoints Saving with different permissions to account defaults
- RuntimeError: Bad StatusOr access: UNKNOWN: TPU initialization failed: Invalid --2a886c8_slice_builder_worker_addresses specified. Expected 4 worker addresses, got 1.
- ModelCheckpoint's `save_last` does not adhere to documentation
- Add something like `use_compile` parameter for Trainer
- Easier access to train_batch_idx for control
- Docs
- Python not yet supported