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
- [AffineIR] Move shared affine index and box geometry into affine_geometry
- [AffineIR] Check affine holders and source regions without pairwise comparisons
- segKI graph-capture decode produces wrong tokens for row 0 at b=8 and all rows at b=2 (eager path is correct)
- ZeRO-1/2: fix offload_states() keeping the optimizer state on the device
- ZeRO-3: fix offload_states() with frozen parameters and stale states after reload_states()
- [ROCm] Fix inference layer-norm on 64-wide wavefronts
- Fix duplicate CSV monitor headers after restart
- [Hybrid Engine] Enable XPU graph capture behind the explicit opt-in
- Size HybridEngine rollout KV caches from local prefill shapes under AutoTP
- ZeRO-3: honor stage3_max_reuse_distance for forward-gathered parameters
- Docs
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