code: def test_calibration_with_quantization_single_op(self):
      model_path = resource_loader.get_path_to_datafile(
          "test_data/mobilenet_like_model.bin"
      )
      float_model = open(model_path, "rb").read()
      quantizer = _calibrator.Calibrator(float_model)
  
      # Input generator for the model.
      def input_gen():
          for _ in range(10):
              yield [np.ones(shape=(1, 5, 5, 3), dtype=np.float32)]
  
      quantized_model = quantizer.calibrate_and_quantize_single(
          input_gen,
          dtypes.float32,
          dtypes.float32,
          True,
          "conv2d_8/BiasAdd",
      )
      self.assertIsNotNone(quantized_model)
  
imports: from absl.testing import parameterized
  import numpy
  import tensorflow
  from tensorflow.lite.python import lite
  from tensorflow.lite.python import schema_py_generated
  from tensorflow.lite.python.optimize import calibrator
  from tensorflow.lite.tools import flatbuffer_utils
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import test_util
  from tensorflow.python.platform import resource_loader
  from tensorflow.python.platform import test
label_desc: Use image node_id 3 for calling the CalibratorTest obj's underlying member method code with example usage: obj.test_calibration_with_quantization_single_op() without return types