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
- Fabric Example pages linking to GitHub with incorrect format
- Update Checkpointing Docs to include details on initializing model with other hyperparameters
- [WandbLogger] Call `wandb.finish()` to ensure all artifacts are uploaded before training ends.
- [WIP] Support all CombinedLoader modes in prediction loop
- Predict steps on ROCm going slowly and not recorded by profiler
- IsADirectoryError: [Errno 21] Is a directory: '/content'
- Can't log a metric called `step`
- training with 500 gpus is almost 2x slower then training with 300 gpus in my case
- WandbLogger in child processes does not respect settings from parent process
- Trainer's current_epoch is not updated at on_fit_start when loading from a checkpoint
- Docs
- Python not yet supported