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 the dead grad_accum branch in the ZenFlow gradient copy
- Reuse existing hpZeRO group in nested zero.Init contexts
- ZeRO-1/2: synchronize IPG buffer reuse per buffer
- fix(inference): validate keep_module_on_host mode
- Include the last sample when packing variable-size batches
- fix(fp16): mark LossScaler._has_inf_or_nan as a staticmethod
- [BUG] DeepSpeed generation fails with a CPU/CUDA device mismatch when keep-module-on-host is enabled
- fix(nvme): run main() from the perf script __main__ blocks
- HybridEngineRollout: synchronized early stopping across ZeRO-3 data-parallel ranks
- [REQUEST] XPU: register native pinned host memory with the device runtime (follow-up to #8283)
- Docs
- Python not yet supported