code: def _get_sepconv1d_stacked_model(self):
      i = tf.keras.Input(shape=(8, 3))
      x = tf.keras.layers.SeparableConv1D(
          filters=5, kernel_size=3, strides=2
      )(i)
      x = tf.keras.layers.BatchNormalization()(x)
      x = tf.keras.layers.SeparableConv1D(
          filters=5, kernel_size=3, strides=2
      )(x)
      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 13 for calling the QuantizeNumericalTest obj's underlying member method code with example usage: obj._get_sepconv1d_stacked_model() and returns: tf