Release Notes

MindSpore Golden Stick 0.5.0 Release Notes

Major Features and Improvements

• [DEMO] Added post-training quantization W8A8 algorithm SmoothQuant mainly for Llama2 network.

API Change

• Added kwargs to apply api of CompAlgo class as extensible parameter for subclasses.

• Added NetworkHelper abstract class as adapter for decoupling between algorithm and framework.

• Added MFLlama2Helper class as adapter between algorithm and MindFormers.

• [DEMO] Added SmoothQuant class as entry of SmoothQuant algorithm.

• Added parameter checking that RoundToNearest algorithm only supports BackendTarget.ASCEND as backend.

Contributors

Thanks goes to these wonderful people:

ccsszz, yyyyrf, hangangqiang

Contributions of any kind are welcome!