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
- `fp_quantizer` ops bug
- why is AutoTP only applies LinearAllreduce (RowParallel) ? What about ColumnParallel and ParallelEmbedding
- AutoTP for training skips lm_head ?
- [REQUEST] Defer detection of op builder compatibility until build time
- [BUG]deepspeed>=v0.17.3 caused an error in megatron's `initialize_model_parallel`
- [BUG]DeepCompile with zero1 has LoweringException
- [BUG]save model NCCL timeout
- deepspeed-v1 prep notes
- [REQUEST] Allow fallback to torch.distributed.all_reduce for multi-node inference.
- [Question] How to Resume DeepSpeed ZeRO-2 Training with a Different Number of GPUs?
- Docs
- Python not yet supported