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] 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
- [BUG] BFloat16 training accuracy issue with zero 0/1 (the more rank, the less accuracy) in CIFAR10
- [BUG] Handle dangling partitioned parameters
- [BUG]Zero++ quantizer unsupport BFloat16
- [BUG]RuntimeError: output tensor must have the same type as input tensor
- Fix the call to get_param_coordinator() in _end_of_forward_hook()
- fix bloom bugs about inference and TP
- Docs
- Python not yet supported