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
- LAMB requires dynamic loss scaling
- 【Question】How deepspeed allocates data according to different GPUs. For example, I have two types of GPUs: 16G and 32G
- [BUG] Error `raise RuntimeError(f"still have inflight params "` when doing IDEFICS inference
- Deepspeed inference and infinity offload with bitsandbytes 4bit loaded model
- [REQUEST] Add an option to decide whether to store the checkpoint and rng_state.
- dtype: torch floating point value
- [BUG] Problem in training step with ZERO optimization. in has_overflow_partitioned_grads_serial for j, grad in enumerate(self.averaged_gradients[i]): KeyError: 0
- Destroy ZeRO
- [BUG] Some problems about zero++ while training Llama2-70B
- How to train inside multiple nodes' Docker containers?
- Docs
- Python not yet supported