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] 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 = (
- [BUG] how to achieve hybrid data and pipeline parallelism?
- Functorch support: RuntimeError: In order to use an autograd.Function with functorch transforms
- [BUG] Ulysses DistributedAttention silently produces incorrect output when #GPUs does not divide global sequence length
- How to properly use tensor_parallel while applying also Zero Stage 3
- Docs
- Python not yet supported