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
- Support platforms without `forkserver` in the distributed test harness
- Guard the fcntl import in printflock
- Preserve convolution shapes and scaling in Muon updates
- Fix memory leak and NULL-deref in shm_initialize
- Fail fast when numactl is missing for --bind_cores_to_rank
- Accept NumPy integer indices in indexed datasets
- AutoEP: share one DeepEP buffer across MoE layers instead of one per layer
- Fill curriculum batches across repeated cluster shuffles
- instrument_w_nvtx drops the wrapped function's name, docstring and signature
- Keep tensor scheduler state independent of optimizer updates
- Docs
- Python not yet supported