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
- Recognize Qwen3.5's RMSNorm variants in AutoTP module loading
- [AutoTP] Fix training lm_head routing
- Honor adam_w_mode in the CPU multi_tensor_adam binding
- [Apple Silicon Support Phase 1] Add Metal FusedAdam kernel and CPU Adam build for Apple Silicon
- feat(opsd): share prompt prefill across rollout samples
- Fix AutoTP metadata updates for unsharded modules
- [Ulysses SP] process-wide _ulysses_num_kv_heads global breaks a second model with a different head count in the same process
- HF transformers main injects 'embedding_rowwise' into tp_plan for tied-embedding models; AutoTP rejects the whole plan
- [AutoTP] update_mp_params shards vision-tower attributes (patch_embed.embed_dim) without sharding weights, breaking multimodal forward
- Reject invalid ZenFlow ratio and update interval boundaries
- Docs
- Python not yet supported