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] Distributed language model inference takes too much memory.
- [REQUEST] Why con't Pipeline Parallelism do sequence parallel?
- [BUG]Issue with Training Moe by lora in deepspeed library
- [OOM] Stage 3
- [REQUEST] DeepSpeed-FastGen AWQ support
- [BUG] gradient_accumulation_steps = 2 uses significantly more memory compared to gradient_accumulation_steps = 1 when using pipeline parallelism
- no overlap while performing stage-2 zero dp training
- [BUG] some question about flops_profiler
- [REQUEST] How to use deepspeed.checkpointing.non_reentrant_checkpoint() properly with Stage3?
- [REQUEST] 🚀 Direct Correspondence between Gradient and Optimizer States to Reduce Communication？
- Docs
- Python not yet supported