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
- [BUG] Dtype mismatch (bf16 vs fp32) when resuming Muon optimizer from checkpoint
- Fix Muon optimizer checkpoint resume with bf16 mode
- [BUG] count_used_parameters_in_backward does not work with PyTorch 2.1.2
- [REQUEST] Python types?
- [BUG] ZenFlow Stage 3 with `full_warm_up_rounds=0` fails due to missing `complete_column_offset` attribute
- [BUG] Cross-partition parameters incorrectly updated when using ZeRO-1/ZeRO-2 with reduce_scatter=true and Muon optimizer
- [BUG] DeepSpeed ZeRO Stage-3 + CPU offloaded optimizer (CPUAdam) inconsistency metadata between subgroup
- Fix subgroup optimizer metadata inconsistency
- [BUG]TypeError: cannot pickle 'torch._C._distributed_c10d.ProcessGroup' object
- [BUG][autotuner.py:700:model_info_profile_run] The model is not runnable with DeepSpeed with error = (
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