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] Config mesh_device None
- Handle when `backend` is also in compile_kwargs
- [BUG] `GatheredParameters` resulting in NCCL mismatched collectives error
- add option to disable logger while compiling to avoid graph breaks
- [BUG] deepspeed tries to call "hostname -I" which is not a valid flag for hostname. it should be "hostname -i"
- Deep Speed Optimizer index out of range during Training
- Zero3 Partitioning Granularity
- [Accelerator] Cambricon MLU support
- [REQUEST] How to use `Flops Profiler` to test model.generate(), with customized forward context manager
- Change compile for pipeline module torch.compile
- Docs
- Python not yet supported