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
- Unpin tests that previously used a pinned version of transformers
- [BUG] Logits are always ZERO(0) at first pass when using ZERO++
- sequence parallel for uneven heads
- [BUG] Getting this error: NotImplementedError: Cannot copy out of meta tensor; no data!
- [BUG] `reduce_bucket_size` influences training convergence of Zero2
- Add weights_only=True in torch.load
- [BUG] Circular import error with PyTorch nightly
- [BUG] Trainer saves global_steps300 in LoRA training with deepspeed
- [NaN check] Add NaN check to support bfloat16.
- [BUG] Universal checkpoint conversion failed
- Docs
- Python not yet supported