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] Tensor are not on the same device when enable cpu activation offload
- [BUG] LLaMA Invalid Output When Multi-GPUs or Multi-Sequences (0.9.3)
- [BUG] Step3 RLHF Training failed with GPTJ 6B on 8x32GB V100
- [BUG] Multi-node failure with Step3 RLHF Training with GPTJ6B on 2x8x32GBV100
- [REQUEST] DeepSpeed Zero3 swap off gradients unnecessarily when swap_optimizer is True
- [REQUEST] Partitioning the model states and optimizer states separately when resuming from checkpoint
- [BUG]HI where is the GPT 175B weight
- [Question] Design of DeepSpeedDataLoader's __iter__ and __next__
- [BUG] RuntimeError: 'weight' must be 2-D during inferencing after loading the model saved by shard
- Add FALCON-40B Inference-Kernel Support
- Docs
- Python not yet supported