code: def _execute_tflite(self, tflite_file, x_test, y_test):
      interpreter = tf.lite.Interpreter(model_path=tflite_file)
      interpreter.allocate_tensors()
  
      input_index = interpreter.get_input_details()[0]["index"]
      output_index = interpreter.get_output_details()[0]["index"]
  
      for x, _ in zip(x_test, y_test):
          x = x.reshape((1,) + x.shape)
          interpreter.set_tensor(input_index, x)
          interpreter.invoke()
          y_ = interpreter.get_tensor(output_index)
  
      return y_
  
imports: import tempfile
  from absl.testing import parameterized
  import numpy
  import tensorflow
  from tensorflow_model_optimization.python.core.quantization.keras import quantize
  from tensorflow_model_optimization.python.core.quantization.keras import utils
label_desc: Use image node_id 3 for calling the QuantizeNumericalTest obj's underlying member method code with example usage: obj._execute_tflite(tflite_file, x_test, y_test) and returns: y_