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
- Checkpoint for BingBertGlue
- Loading a HF Model in Multiple GPUs and Run Inferences Using deepspeed.init_inference() on those GPUs
- Support mixed precision mode O1 with zero optimization[REQUEST]
- [BUG] Fused Adam optimizer requires more memory than unfused optimizer
- Run preprocessing steps only once
- [REQUEST] Usability of quantised models
- When configured as "zero offload," the computation of backpropagation and the copying from GPU to CPU cannot be parallelized.[BUG]
- [BUG] autotuning hangs out when an error occurs
- [Question] DeepSpeed + HuggingFace Trainer Displays a File After Successful Execution. How to Disable it?
- [BUG] Unused params lead to "still have inflight params" error
- Docs
- Python not yet supported