deepspeedai / deepspeedai/DeepSpeedExamples
"enable_mixed_precision_lora" just available for fp16 tensor?
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Description
Hi, as shown in zero3 of deepspeed(version 0.11.1), i.e., "assert tensor.dtype == torch.float16, f"quantize_dstensor() expects tensor.dtype == torch.float16, got {tensor.dtype}", does this mean "enable_mixed_precision_lora" just available for fp16 tensor(i.e., dtype of fp16 training)?
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Research direction
Start with the ZeRO-3 implementation in DeepSpeed 0.11.1 and inspect quantize_dstensor(), especially the assertion requiring torch.float16. Determine whether enable_mixed_precision_lora supports other tensor dtypes; done should establish the supported behavior and include appropriate coverage or documentation.
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Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100