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]AssertionError: Client Optimizer (type = <class 'NoneType'> is not instantiated but Client LR Scheduler is instantiated
- autoTP for HE
- [BUG]when using deepspeed loss learning rate did not down
- How to manipulate model weights within a ZeRO 3 training process?
- Deepspeed Inference not working on llama when input has padding and using kernel injection
- torch.nn.Embedding error[BUG]
- [BUG] model.load_checkpoint out of memory
- [REQUEST]Inference Optimized Pipeline Parallelism
- [BUG] PipelineEngine does not store losses on last stage in pipeline buffers
- [BUG] Training speed is slower and consumes more memory than FSDP
- Docs
- Python not yet supported