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
- 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?
- [BUG] The training process is stuck without any report
- [BUG] RuntimeError(f"{param.ds_summary()} already in registry")
- DS-Inference Quantization refresh: Fix several issues and add more features
- [BUG]not a bug, ask for solution:ppo zero3+offload generate too slow
- cpu_adam cuda is missing or is incompatible with installed torch, only cpu ops can be compiled!
- Docs
- Python not yet supported