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
- Registered buffers not moved to correct device when using DeepSpeed Stage 3
- Shuffle order is the same across runs when using strategy='ddp'
- Update LR step scheduler to use total step to work across epochs
- 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
- "FileExistsError: [Errno 17] File exists: '/000000_epoch_shape'" using the ddp_notebook strategy with data stored in MDS (mosaic streaming) format
- metric.compute() hangs when using DDP with multiple GPUs
- Can no longer install versions 1.5.10-1.6.5
- Model does not update its weights
- Docs
- Python not yet supported