code: def _get_upsampling2d_nearest_model(self):
      i = tf.keras.Input(shape=(32, 32, 3))
      x = tf.keras.layers.UpSampling2D(
          size=(3, 4), interpolation="nearest"
      )(i)
      return tf.keras.Model(i, x)
  
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 14 for calling the QuantizeNumericalTest obj's underlying member method code with example usage: obj._get_upsampling2d_nearest_model() and returns: tf