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
- [NaN check] Add NaN check to support bfloat16.
- [BUG] Training time regression with ZeRO-3 after upgrade to torch 2.3.1 and CUDA 12.1
- [BUG] Universal checkpoint conversion failed
- [BUG] Launcher does not honor CUDA_VISIBLE_DEVICES
- [BUG] Training with RoPE is broken: Can't stop FP32 layers from being cast to FP16/BF16 during training
- Multi node multi GPU sharding for inference / training Llama 405B
- when I finetune the model use deepspeed on 2 4*A800s，log only contain worker1
- Fix circular import in ds_transformer.py
- [BUG]RuntimeError: disagreement between rank0 and rank1: rank0:
- [BUG] Excessive CPU and GPU Memory Usage with Multi-GPU Inference Using DeepSpeed
- Docs
- Python not yet supported