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] Flash attention seems cannot be integrated with pipeline parallelism due to absent of input grad
- [BUG]I cannot run use DeepSpeed Chat train my model with enabled "hybrid_engine" in step3
- [BUG] Pipeline Parallelism cannot work with BFloat16 + Optimizer offload
- [BUG] 60GB of RAM but getting - RuntimeError: [enforce fail at alloc_cpu.cpp:75] err == 0. DefaultCPUAllocator: can't allocate memory: you tried to allocate ...
- [BUG] RuntimeError: The specified pointer resides on host memory and is not registered with any CUDA device.
- Deepspeed inference support GPT BigCode (bigcode/starcoder, bigcode/gpt_bigcode-santacoder, etc.)
- List Of Supported Models For DeepSpeed Inference; Add MPT And Falcon Inference Support[REQUEST]
- [REQUEST] Saving model weights only in checkpoints
- [BUG]How to save multiple models after a certain step
- [REQUEST] How to do 3D Parallelism for HuggingFace Models?
- Docs
- Python not yet supported