code: def train_and_score(dataset):
      """Complete training run with membership inference score."""
      x, y, pois_x, pois_y, i = dataset
      np.random.seed(i)
      tf.set_random_seed(i)
      tf.reset_default_graph()
      model = build_model(x, y)
      model = train_model(model, x, y)
      return membership_test(model, pois_x, pois_y)
  
file_path: privacy/research/audit_2020/fmnist_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 5 for calling a global function with example usage: train_and_score(dataset) and returns: membership_test