code: def _get_depthconv_bn_relu_model(self):
      i = tf.keras.Input(shape=(6, 6, 3))
      x = tf.keras.layers.DepthwiseConv2D(
          kernel_size=(3, 3), strides=(2, 2)
      )(i)
      x = tf.keras.layers.BatchNormalization()(x)
      x = tf.keras.layers.ReLU()(x)
      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 9 for calling the QuantizeNumericalTest obj's underlying member method code with example usage: obj._get_depthconv_bn_relu_model() and returns: tf