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] 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？
- Two PipelineModule within a Model will block the deepspeed initialization
- Add more weight only quantization algorithms into DeepSpeed inference.
- [BUG]deepspeed-zero-2-cpu-offloading-killing-process-9-error
- [REQUEST] Can I specify certain parameters' grads and optimizer states not being partitioned in stage 3?
- [BUG] 8 bit quantized inference not as fast as hoped for?
- Docs
- Python not yet supported