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
- [REQUEST] detect opbuilder list at launch time
- Inference without Deepspeed
- [BUG] stage3 cost more gpu vram than stage 2,why?
- How to support topk>2 (topk=6 is needed in our experiment) in MoE model?
- [BUG] LM converges much slower when gradient is accumulated in FP32.
- Loadams/cpu inf v0 docker
- Rename and update to torch 1.11
- move CPU_Accelerator --> Xeon_Accelerator
- How to offload/move model weights manually ?
- Add HIP device abstraction, update Triton skip logic
- Docs
- Python not yet supported