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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Help out
- Issues
- [BUG]Loss decreases cyclically with epoch as the cycle
- [BUG] Profiler records values that differ from transformers
- [BUG] Problems with MiCS training
- [BUG] 'type:transformer' partitioning doesn't ensure non-zero parameters on each pipeline rank.
- Does deepspeed support qdq model used pytorch-quantization for training?
- [REQUEST] Should MoE be parameter groups be partitionable by expert_group_name or expert number?
- [BUG] The NCCL timed out while using the zero3 model. How can I solve this problem?
- [BUG] qgZ doesn't work for odd number of nodes
- [BUG] Using Zero++, evaluation loss is high and evaluate accuracy is always 0
- How can we set zero2 not to save the overall weight
- Docs
- Python not yet supported