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] 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
- [REQUEST] How to use `Flops Profiler` to test model.generate(), with customized forward context manager
- Change compile for pipeline module torch.compile
- [REQUEST] MiCS vs Zero++ hpZ for Hybrid FSDP
- Flops Profiler
- [REQUEST] Replace reduce in ZERO 1/2/3 with reduce_scatter
- [BUG] zero3 hang during inference, need to detach part of computational graph, .detach()/torch.no_grad do not work.
- configuration setting problems for parameters partitioning in training
- Unpin tests that previously used a pinned version of transformers
- Docs
- Python not yet supported