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
- Follow-ups for restoring fp32 masters without optimizer state
- Vectorize `partition_balanced` dynamic programming inner loop
- Precompute optimizer param_id counts in _check_for_duplicates
- Scope ZeRO-3 __params_to_release cache per coordinator and trace
- Avoid `O(W^2)` linear scans in `ProcessTopology` and `PipelineParallelGrid`
- Fix out-of-bounds row access in inference v2 layer_norm/rms_norm kernels for hidden sizes <= 128
- [BUG] ZeRO-3 resume can fail when a resident adapter becomes an external dependency after tracing
- Fix double-transpose crash loading fused QKV checkpoints (megatron_v2)
- Fix ZeRO-3 external parameter discovery for resident weights
- AutoTP: shard an untied input embedding along the vocabulary (`vocab_…
- Docs
- Python not yet supported