code: def layers_list():
      return [
          l.Conv2D(
              32,
              5,
              padding="same",
              activation="relu",
              input_shape=image_input_shape(),
          ),
          l.MaxPooling2D((2, 2), (2, 2), padding="same"),
          # TODO(pulkitb): Add BatchNorm when transformations are ready.
          # l.BatchNormalization(),
          l.Conv2D(64, 5, padding="same", activation="relu"),
          l.MaxPooling2D((2, 2), (2, 2), padding="same"),
          l.Flatten(),
          l.Dense(1024, activation="relu"),
          l.Dropout(0.4),
          l.Dense(10, activation="softmax"),
      ]
  
file_path: model-optimization/tensorflow_model_optimization/python/core/keras/testing/test_utils_mnist.py
imports: import numpy
  import tensorflow
  from tensorflow import keras
label_desc: Use image node_id 1 for calling a global function with example usage: layers_list() and returns: list