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
- Loading from a checkpoint does not work properly in distributed training
- `TensorBoardLogger` fails with remote FS (azure)
- LightningCLI, WandbLogger and save_hyperparameters() inconsistencies
- `log_dir` contains both forward and backward slashes as path separator when using remote file location as `default_root_dir` on windows
- Expected all tensors to be on the same device... using quantized model with deepspeed zero3
- Training stuck when running on Slurm with multiprocessing
- Support TorchEval
- Mixing the order of `--config` and `fit` in LightningCLI can cause confusion
- Modules with `nn.Parameter` not Converted by Lightning Mixed Precision
- Allow overriding the initial batch/step index, for when resuming training.
- Docs
- Python not yet supported