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
- Fix zero_to_fp32 --safe_serialization on models with tied weights
- Return frozen parameters as fp32 from get_fp32_state_dict_from_zero_checkpoint
- [DON'T MERGE] Run multi-rank CPU unit tests in CI via LOCAL_SIZE
- Build the inference rotary embedding through LlamaConfig
- Gather zero-sized parameters in ZeRO-3
- Validate positive inference min output tokens
- Add coalesced full gradient access
- ZeRO-1/2 average_tensor serializes backward compute behind the preceding reduction
- [Feature] Per-Head Muon: per-head Newton-Schulz orthogonalization for attention projections
- [BUG]Unfreed parameters and unnecessary peak memory in autoEP
- Docs
- Python not yet supported