Error compiling object_color_classify.ino

[ysc]

Hi, recently I'm doing a project. Some of the part related to fruit classify. So I choose Arduino Nano 33 BLE Sense to finish it. But something was wrong when I compiled an example named object_color_classify from Arduino_TensorflowLite. Please help!

Board: Arduino Nano 33 BLE Sense
IDE version: 1.8.12
Mbed OS

#include <TensorFlowLite.h>
#include <tensorflow/lite/experimental/micro/kernels/all_ops_resolver.h>
#include <tensorflow/lite/experimental/micro/micro_error_reporter.h>
#include <tensorflow/lite/experimental/micro/micro_interpreter.h>
#include <tensorflow/lite/schema/schema_generated.h>
#include <tensorflow/lite/version.h>
#include <Arduino_APDS9960.h>
#include "model.h"

// global variables used for TensorFlow Lite (Micro)
tflite::MicroErrorReporter tflErrorReporter;

// pull in all the TFLM ops, you can remove this line and
// only pull in the TFLM ops you need, if would like to reduce
// the compiled size of the sketch.
tflite::ops::micro::AllOpsResolver tflOpsResolver;

const tflite::Model* tflModel = nullptr;
tflite::MicroInterpreter* tflInterpreter = nullptr;
TfLiteTensor* tflInputTensor = nullptr;
TfLiteTensor* tflOutputTensor = nullptr;

// Create a static memory buffer for TFLM, the size may need to
// be adjusted based on the model you are using
constexpr int tensorArenaSize = 8 * 1024;
byte tensorArena[tensorArenaSize];

// array to map gesture index to a name
const char* CLASSES[] = {
  "Apple", // u8"\U0001F34E", // Apple
  "Banana", // u8"\U0001F34C", // Banana
  "Orange" // u8"\U0001F34A"  // Orange
};

#define NUM_CLASSES (sizeof(CLASSES) / sizeof(CLASSES[0]))

void setup() {
  Serial.begin(9600);
  while (!Serial) {};

  Serial.println("Object classification using RGB color sensor");
  Serial.println("--------------------------------------------");
  Serial.println("Arduino Nano 33 BLE Sense running TensorFlow Lite Micro");
  Serial.println("");

  if (!APDS.begin()) {
    Serial.println("Error initializing APDS9960 sensor.");
  }

  // get the TFL representation of the model byte array
  tflModel = tflite::GetModel(model);
  if (tflModel->version() != TFLITE_SCHEMA_VERSION) {
    Serial.println("Model schema mismatch!");
    while (1);
  }

  // Create an interpreter to run the model
  tflInterpreter = new tflite::MicroInterpreter(tflModel, tflOpsResolver, tensorArena,                   
  tensorArenaSize, &tflErrorReporter);

    // Allocate memory for the model's input and output tensors
    tflInterpreter->AllocateTensors();

    // Get pointers for the model's input and output tensors
    tflInputTensor = tflInterpreter->input(0);
    tflOutputTensor = tflInterpreter->output(0);
  }

  void loop() {
    int r, g, b, p, c;
    float sum;

    // check if both color and proximity data is available to sample
    while (!APDS.colorAvailable() || !APDS.proximityAvailable()) {}

    // read the color and proximity sensor
    APDS.readColor(r, g, b, c);
    p = APDS.readProximity();
    sum = r + g + b;

    // check if there's an object close and well illuminated enough
    if (p == 0 && c > 10 && sum > 0) {

      float redRatio = r / sum;
      float greenRatio = g / sum;
      float blueRatio = b / sum;

      // input sensor data to model
      tflInputTensor->data.f[0] = redRatio;
      tflInputTensor->data.f[1] = greenRatio;
      tflInputTensor->data.f[2] = blueRatio;

      // Run inferencing
      TfLiteStatus invokeStatus = tflInterpreter->Invoke();
      if (invokeStatus != kTfLiteOk) {
        Serial.println("Invoke failed!");
        while (1);
        return;
      }

      // Output results
      for (int i = 0; i < NUM_CLASSES; i++) {
        Serial.print(CLASSES[i]);
        Serial.print(" ");
        Serial.print(int(tflOutputTensor->data.f[i] * 100));
        Serial.print("%\n");
      }
      Serial.println();

      // Wait for the object to be moved away
      while (!APDS.proximityAvailable() || (APDS.readProximity() == 0)) {}
    }

  }

And there is the error:
object_color_classify:37:21: error: 'AllOpsResolver' in namespace 'tflite::ops::micro' does not
name a type

 tflite::ops::micro::AllOpsResolver tflOpsResolver;

                 ^~~~~~~~~~~~~~

C:\Users\86158\Desktop\A22\ArduinoTensorFlowLiteTutorials- 
master\FruitToEmoji\sketches\object_color_classify\object_color_classify.ino: In function 'void     
setup()':

object_color_classify:79:59: error: 'tflOpsResolver' was not declared in this scope

   tflInterpreter = new tflite::MicroInterpreter(tflModel, tflOpsResolver, tensorArena, 
tensorArenaSize, &tflErrorReporter);

                                                       ^~~~~~~~~~~~~~

C:\Users\86158\Desktop\A22\ArduinoTensorFlowLiteTutorials- 
master\FruitToEmoji\sketches\object_color_classify\object_color_classify.ino:79:59: note: 
suggested alternative: 'tflErrorReporter'

tflInterpreter = new tflite::MicroInterpreter(tflModel, tflOpsResolver, tensorArena, 
tensorArenaSize, &tflErrorReporter);

                                                       ^~~~~~~~~~~~~~

                                                       tflErrorReporter

C:\Users\86158\Desktop\A22\ArduinoTensorFlowLiteTutorials- 
master\FruitToEmoji\sketches\object_color_classify\object_color_classify.ino: In function 'void 
loop()':

C:\Users\86158\Desktop\A22\ArduinoTensorFlowLiteTutorials- 
master\FruitToEmoji\sketches\object_color_classify\object_color_classify.ino:122:23: warning: 
comparison between signed and unsigned integer expressions [-Wsign-compare]

 for (int i = 0; i < NUM_CLASSES; i++) {

Can someone give me a hand? I'll appreciate it a lot, thanks!