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
- [BUG] loss discrepancy among ZeRO-0, 1, 2, 3, when gradient accumulate multiple steps
- [BUG] AttributeError: 'FusedAdam' object has no attribute 'set_grad_none'
- Issues with running inference on quantized model
- DGX-1 / V100-32GB-SMX2 - nvlink is not activated (0 activity)
- Performance degradation after using DeepSpeed (UniLM/layoutlmv2)
- Transformer/fix layer norm
- [REQUEST] Support mixed precision calculation with ZERO
- [REQUEST] multiple dynamic loss scalar on different loss values
- [BUG] String sort based on ``rank_repr`` may lead to problems?
- Question: How best to allocate pipeline stages just for pre_process and post_process steps?
- Docs
- Python not yet supported