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
- MLFlow logger - save top k to server on N epochs
- updated `ModelCheckpoint` to add the facility of retaining periodic checkpoints
- Cross validation built into the framework
- Unable to requeue a job after sigterm signal on slurm
- `top_k` parameter of `ModelCheckpoint` default value
- DeepSpeed Stage 3 in lightning leads to Nan and Inf values in the model parameters.
- Make logging_mode (`on_step` or `on_epoch`) available to loggers
- Error learning rate when load ckpt for cotinue training if check_val_every_n_epoch > 1
- Loading checkpoint before fabric.setup(model) gets abnormal loss when using fabric.init_module()
- Model diverges or struggles to converge with complex-valued tensors in DDP
- Docs
- Python not yet supported