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
- 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
- Tech Giants Alienating High-End Mac Pro Users: The Forgotten Voices of x86 Architecture Advocates
- Last 2 entries on How to page are not in alphabetical order
- Enable Intel xpu as a new backend of PyTorch-Lightning
- CUDA Streams for parallel sub-module training
- Any plans in adding support for DeepSpeedHybridEngine
- Add MemoryFormat callback (channels last)
- Docs
- Python not yet supported