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
- [REQUEST] DeepSpeed Zero3, gathering, updating and repartitioning gradients
- [BUG] KeyError in stage_1_and_2.py when training dreambooth with deepspeed (in kohya_ss)
- [BUG] Getting .half() is not supported when using QLora
- When I load model and use deepspeed with ZERO stage 3, I have a problem with high cpu memory Usage
- change model_parameter hint according to document
- Addressing ipg Buffer Data Race Condition in Zero Stage2
- [REQUEST] Mixture of Experts (MoE) Segmentation Task
- [QUESTION] GPT2 not supported by AutoTP
- Asymmetric quant algorithm update
- [BUG] Not see desirable GPU memory saving when running DeepSpeedExamples/training/pipeline_parallelism
- Docs
- Python not yet supported