How to apply static quantization and pruning to my trained YOLO model using PyCharm?

[困困de宇]

When i used cubeai,i met some problem which i click anaylze the error is  "Unsupported layer types: DynamicQuantizeLinear, ConvInteger".And i saw my model's quantizelinear manner is dynamic.so i want used pycharm to solving my error.i want make a static quantization and pruning to my trained YOLO model.my model's type is PT file,can you give me a code to solve my problem and i will very appreciate for your help!

[Julian E.]

Hello @困困de宇,

You issue is that we don't currently support these layers.

Here is the list of supported layers for ONNX models: 

https://stedgeai-dc.st.com/assets/embedded-docs/supported_ops_onnx.html 

Concerning Yolo models, you can find architectures that we support here:

https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection 

Have a good day,

Julian