sample-TFL-Unity-MNIST.cs

// the image 28 * 28 grayscale
float[,] inputs = new float[28, 28];

// the array of probability
float[] outputs = new float[10];

void Start()
{
    // Read bytes from model and make Interpreter
    interpreter = new Interpreter(File.ReadAllBytes(path));

    // Allocate input buffer
    interpreter.ResizeInputTensor(0, new int[] { 1, 28, 28, 1 });
    interpreter.AllocateTensors();
}

void Update()
{
    // Set input data
    interpreter.SetInputTensorData(0, inputs);

    // Blackbox!!
    interpreter.Invoke();
    
    // Get data
    interpreter.GetOutputTensorData(0, outputs);
}

void OnDestroy()
{
    interpreter?.Dispose();
}