NN quantization: wrong IO buffer format in code generation Hi,I'm trying the quantization of Keras (.h5) pretrained neural networks with some different quantization schemes.Using the 'stm32ai.exe' command I run the following command:$ stm32ai.exe quantize -q <pathtoconfig.json>Then I drag and drop the quantized <my_nn_name>.h5 and <my_nn_name_Q>.json output files in X-Cube-AI menu in CubeMX and generate my code.In the generated file <my_nn_name>.h, there are #defines for IO buffer formats. I believe they depend on the schemes chosen in config.json file and the quantization process.The code generation seems to work fine, except for the 'ss/sa' for 'Integer arithmetic'. For lines of interest, I get:...
#define AI_GENERICNETWORK_IN_NUM (1)
#define AI_GENERICNETWORK_IN { \
AI_BUFFER_OBJ_INIT(AI_BUFFER_FORMAT_U8, 512, 1, 2, 1, NULL), \
}
...
#define AI_GENERICNETWORK_OUT_NUM (1)
#define AI_GENERICNETWORK_OUT { \
AI_BUFFER_OBJ_INIT(AI_BUFFER_FORMAT_U8, 1, 1, 6, 1, NULL), \
}
...In this case the call of "ai_platform_network_
