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
- Restore memory-mapped datasets when unpickling
- Skip absent buffers when loading AutoTP checkpoints
- Accept gradient iterators in global norm helpers
- fix(zenflow): use optimizer_z3.device instead of hardcoded cuda
- Keep Random-LTD sequence lengths above the configured minimum
- fix(data_pipeline): default device to active accelerator in DistributedDataAnalyzer
- Fix FPDT loss layout for batch-first masks
- Fix checkpoint layer partitioning for uneven pipeline stages
- Count examples in structured DataAnalyzer batches
- [BUG] AutoTP checkpoint load raises AttributeError on a model containing nn.InstanceNorm1d
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- Python not yet supported