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
- HF transformers main injects 'embedding_rowwise' into tp_plan for tied-embedding models; AutoTP rejects the whole plan
- Define affine IR for checkpointing
- Update versions of steps in workflows
- Update pytest version per latest dependabot
- [RFC] Universal checkpoint: non-semantic per-parameter geometric shard map
- [REQUEST] OPSD Profile and improve HybridEngine rollout performance
- [REQUEST] Dynamic/Adaptive Prefetching Window for ZeRO-3
- [RFC] Support sharding LM heads and adopting Online Softmax
- [Pipeline] Add Ray-backed stage placement and execution with pluggable transportsFeature/ray pipeline parallelism
- Add logging support for better observability
- Docs
- Python not yet supported