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] `reduce_bucket_size` influences training convergence of Zero2
- [BUG] AVX2 support for AdamCPU with DeepSpeed 0.14.2
- Add weights_only=True in torch.load
- Add APIs to offload states of model, optimizer, and engine
- [BUG] Circular import error with PyTorch nightly
- [BUG] Trainer saves global_steps300 in LoRA training with deepspeed
- [BUG] Gradient accumulation causing training loss differences in Deepspeed vs FSDP
- [NaN check] Add NaN check to support bfloat16.
- [BUG] Training time regression with ZeRO-3 after upgrade to torch 2.3.1 and CUDA 12.1
- [BUG] Universal checkpoint conversion failed
- Docs
- Python not yet supported