do{
    var options = InterpreterOptions()
    options.isErrorLoggingEnabled = true
    try self.interpreter = Interpreter(modelPath: Bundle.main.path(forResource: modelFileName, ofType: "tflite")!, options: options)
    // allocate input tensors at the given shapes
    try self.interpreter.allocateTensors()
}catch {
    print("initialize TF interpreter failed: (error)")
    return nil
}

let data = Data(copyingBufferOf: Array<Float>(repeating: 1, count: 128*10))
try interpreter.copy(data, toInputAt: 0)
try interpreter.invoke()
let outputTensor = try interpreter.output(at: 0)
let outputResult = [Float](unsafeData: outputTensor.data)!
print("interpreter result on test data", outputResult)
precondition(outputResult == [0.2032134])