Please check the CUBE AI code.

[limjongmin]

This is training data that receives 12 inputs and outputs 1, but strange values appear, so please check and review the code.

#ifdef __cplusplus

 extern "C" {

#endif

/* Includes ------------------------------------------------------------------*/

#if defined ( __ICCARM__ )

#define AI_RAM _Pragma("location=\"AI_RAM\"")

#elif defined ( __CC_ARM ) || ( __GNUC__ )

#define AI_RAM __attribute__((section(".AI_RAM")))

#endif

/* System headers */

#include <stdint.h>

#include <stdlib.h>

#include <stdio.h>

#include <inttypes.h>

#include <string.h>

#include "network.h"

#include "network_data.h"

#include "app_x-cube-ai.h"

#include "bsp_ai.h"

#include "aiSystemPerformance.h"

#include "ai_datatypes_defines.h"

#include <string.h>

#include "ai_datatypes_defines.h"

/* USER CODE BEGIN includes */

/* USER CODE END includes */

/* IO buffers ----------------------------------------------------------------*/

DEF_DATA_IN

DEF_DATA_OUT

/* Activations buffers -------------------------------------------------------*/

AI_ALIGNED(32)

AI_RAM

static ai_handle network = AI_HANDLE_NULL;

static uint8_t POOL_0_RAM[AI_NETWORK_DATA_ACTIVATION_1_SIZE];

ai_handle data_activations0[] = {POOL_0_RAM};

/* Entry points --------------------------------------------------------------*/

void MX_X_CUBE_AI_Init(void)

{

ai_error      ai_err;

    MX_UARTx_Init();

    ai_network_params   ai_params={

              AI_NETWORK_DATA_WEIGHTS(ai_network_data_weights_get()),

              AI_NETWORK_DATA_ACTIVATIONS(data_activations0)

        };

    printf("stm32 ai init \r\n");

    ai_err   = ai_network_create(&network,AI_NETWORK_DATA_CONFIG);

    if (ai_err.type !=AI_ERROR_NONE)

    {

       printf("ERROR:could not create ai_network_create \r\n");

    }

    if (!ai_network_init(network,&ai_params))

    {

       printf("ERROR:could not create ai_network_init \r\n");

    }

   // aiSystemPerformanceInit();

    /* USER CODE BEGIN 5 */

    /* USER CODE END 5 */

}

void MX_X_CUBE_AI_Process(void)

{

float   y_val;

  ((ai_float *)data_in_1)[0] = (ai_float)25.0f;

  ((ai_float *)data_in_1)[1] = (ai_float)23.0f;

  ((ai_float *)data_in_1)[2] = (ai_float)27.0f;

  ((ai_float *)data_in_1)[3] = (ai_float)30.0f;

  ((ai_float *)data_in_1)[4] = (ai_float)34.0f;

  ((ai_float *)data_in_1)[5] = (ai_float)47.0f;

  ((ai_float *)data_in_1)[6] = (ai_float)68.0f;

  ((ai_float *)data_in_1)[7] = (ai_float)130.0f;

  ((ai_float *)data_in_1)[8] = (ai_float)100.0f;

  ((ai_float *)data_in_1)[9] = (ai_float)10.0f;

  ((ai_float *)data_in_1)[10] = (ai_float)50.0f;

  ((ai_float *)data_in_1)[11] = (ai_float)58.0f;

  ai_network_run(network, &data_ins[0], &data_outs[0]);

  y_val = ((float *)data_out_1)[0];

  printf("output: %f\r\n",y_val);

    //aiSystemPerformanceProcess();

    HAL_Delay(1000); /* delay 1s */

    /* USER CODE BEGIN 6 */

    /* USER CODE END 6 */

}