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] DeepSpeed distributed training crashes with "TypeError: can't convert complex to float"
- [REQUEST] split zero3 checkpoint files into optim states and master weights
- [REQUEST] [zero_to_fp32.py] Allow user to specify the dtype (e.g. `torch.bfloat16`) in the output file
- [REQUEST] implementing interleaved 1F1B in pipeline parallelism
- [REQUEST] How to use int8 quantization inference without training?
- Exception: Current loss scale already at minimum - cannot decrease scale anymore. Exiting run.
- [BUG] misc false： parameter object has no attribute "comm"
- Compression training: when quantizer_kernel is enabled, the check target of "rounding" param should be "nearest" instead of "nearest_neighbor"
- [BUG] In step3, a runtime error will be thrown when inference_tp_size>1
- [BUG]GPU resources cannot be released properly when DeepSpeed is canceled. GPU A100 40G Driver Version: 535.54.03 CUDA Version: 12.2
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