code: def _get_single_conv_model(self):
      i = tf.keras.Input(shape=(32, 32, 3))
      x = tf.keras.layers.Conv2D(2, kernel_size=(3, 3), strides=(2, 2))(
          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 4 for calling the QuantizeNumericalTest obj's underlying member method code with example usage: obj._get_single_conv_model() and returns: tf