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 non-floating buffers in ZeRO checkpoint conversion
- Skip unused parameters in ZenFlow ZeRO-1/2 updates
- docs: document PyTorch fused AdamW opt-in
- 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
- Docs
- Python not yet supported