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
- AutoTP: sequence sharding for training
- Incorrect bus bandwidth calculation for subgroup collectives
- Fix subgroup communication bandwidth calculation
- Clarify safe cross-rank aggregation for MoE forward timing breakdown
- [checkpoint] universal state keys for non-Adam optimizers (fix #8608)
- [REQUEST] Support RMS-matched Muon updates via adjust_lr_fn configuration
- Move test_klxpu_accelerator.py to tests/unit/v1/accelerator/
- [Triton] Make the Triton device guards accelerator-agnostic
- Keep the tensors a model names for fp32 in fp32 in init_inference
- Fix BF16 full-gradient updates to use the accumulation buffer
- Docs
- Python not yet supported