Dual_Cores_M4_M7.ino

#include <Arduino.h>
#include <CoreMutex.h>
#include <TensorFlowLite.h> // Include the TensorFlow Lite library for microcontrollers

// Define the shared memory and mutex for inter-core communication
#define SHARED_MEMORY_SIZE 4096
__attribute__((section(".sram1"))) uint8_t shared_memory[SHARED_MEMORY_SIZE];
CoreMutex shared_memory_mutex;

// Function prototypes
void preprocess_sensor_data(float* input_data, size_t input_data_length);

#ifdef CORE_CM4

void setup() {
  // Initialize serial communication
  Serial.begin(9600);

  // Initialize the shared memory mutex
  shared_memory_mutex.begin();

  // Add your DSP block setup code here (e.g. initialize sensor, set up FFT)
}

void loop() {
  // Read sensor data and preprocess it
  float input_data[1024];
  size_t input_data_length = sizeof(input_data) / sizeof(input_data[0]);

  preprocess_sensor_data(input_data, input_data_length);

  // Lock the shared memory mutex to ensure safe access
  shared_memory_mutex.lock();

  // Copy the preprocessed data to the shared memory
  memcpy(shared_memory, input_data, input_data_length * sizeof(float));

  // Unlock the shared memory mutex
  shared_memory_mutex.unlock();

  // Add any additional code for your DSP block
  delay(100);
}

#elif defined(CORE_CM7)

void setup() {
  // Initialize serial communication
  Serial.begin(9600);

  // Initialize the shared memory mutex
  shared_memory_mutex.begin();

  // Load the TensorFlow Lite model
  // Add your deep learning block setup code here (e.g. initialize TensorFlow Lite)
}

void loop() {
  // Lock the shared memory mutex to ensure safe access
  shared_memory_mutex.lock();

  // Read the preprocessed data from the shared memory
  float input_data[1024];
  size_t input_data_length = sizeof(input_data) / sizeof(input_data[0]);
  memcpy(input_data, shared_memory, input_data_length * sizeof(float));

  // Unlock the shared memory mutex
  shared_memory_mutex.unlock();

  // Run inference using the TensorFlow Lite model
  // Add your deep learning block code here (e.g. run TensorFlow Lite inference, print results)
  
  delay(100);
}

#endif

// Dummy implementation of preprocessing function
void preprocess_sensor_data(float* input_data, size_t input_data_length) {
  for (size_t i = 0; i < input_data_length; ++i) {
    input_data[i] = static_cast<float>(i);
  }
}