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] 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
- ds_inference success but OOM when use tp_presharded_mode=True[BUG]
- How zero3 releases the GPU memory occupied by parameters?
- pipe_parallel model continue eval_batch train_batch eval_batch.
- [Question]How to training on different node with specific gpu in each node
- [REQUEST] quantize_training document update
- Docs
- Python not yet supported