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] High CPU memory usage at initialization
- [BUG] Problem with optimizer update step
- [BUG] ZeRO/bf16 grad accumulation in bf16 needs higher precision accumulator
- [BUG] DeepSpeed Inference with GPT-J using batches with padding gives wrong outputs
- [BUG] zero_to_fp32.py cannot convert the model
- [BUG] save_checkpoint() missing some params
- [BUG] CUDA error with INT 8 inference
- [BUG] bf16 w/ ZeRO Stage 0 assert
- [BUG] nn.Module.train() and eval() have NO effect on TransformerLayer's dropout
- [REQUEST] Some comments on using deepspeed to know about the distributed effect
- Docs
- Python not yet supported