deepspeed
https://github.com/microsoft/deepspeed
Python
DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.
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- Issues
- [BUG] Multi-GPU performance worse than single GPU when using optimizers with moving averages (e.g.: Adam)
- [REQUEST] Does sequence parallel need all-reduce for gradients before optimizer.step()?
- Add BigCode models support
- [BUG] Deepspeed multi-GPU Inference
- GPU memory usage is significantly higher than estimated.
- [BUG]Backward through the graph twice in training
- [BUG] training bug
- [BUG]`assert param.ds_status == ZeroParamStatus.AVAILABLE, param.ds_summary()` when training deepspeed-chat step3 with ZeRO3 and a larger `generation_batches`
- When using zero stage 3 for model training, loading custom parameters failed and the model parameter size was 0.
- [REQUEST] During inference, support passing `past_key_values` even if `input_ids.shape[-1] >= 2`
- Docs
- Python not yet supported