code: def build_model(x, y):
      del x, y
      model = tf.keras.Sequential(
          [
              tf.keras.layers.Dense(
                  1,
                  input_shape=(FLAGS.d,),
                  use_bias=False,
                  kernel_initializer=tf.keras.initializers.Zeros(),
              )
          ]
      )
      return model
  
file_path: privacy/research/audit_2020/mean_audit.py
imports: import numpy
  import tensorflow.compat.v1
  from tensorflow_privacy.privacy.analysis.rdp_accountant import compute_rdp
  from tensorflow_privacy.privacy.analysis.rdp_accountant import get_privacy_spent
  from tensorflow_privacy.privacy.optimizers import dp_optimizer_vectorized
  from absl import app
  from absl import flags
  import audit
label_desc: Use image node_id 2 for calling a global function with example usage: build_model(x, y) and returns: model