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
- Preserve ZeRO-3 release output metadata in DeepCompile
- Support CUDA UUIDs in NVML memory queries
- ZeRO-1/2: add bounded quantized weight all-gather
- Preserve each Adam group's beta2 in OneCycle
- [BUG] ZeRO-3 ignores checkpoint tag when load_optimizer_states=False
- [BUG] Python checkpoint writers fail to reload full ZeRO-3 state with default torch.load
- Keep ZenFlow Adam step counters in float32
- Fix free block handling in Inference V2 scheduling
- feat(rollout): align decode fronts and trim dead zones
- Restore full training state in checkpoint writer engines
- Docs
- Python not yet supported