def main()

in train.py [0:0]

• 17 lines of code
• 6 McCabe index (conditional complexity)

def main(hps):

    # Initialize Horovod.
    hvd.init()

    # Create tensorflow session
    sess = tensorflow_session()

    # Download and load dataset.
    tf.set_random_seed(hvd.rank() + hvd.size() * hps.seed)
    np.random.seed(hvd.rank() + hvd.size() * hps.seed)

    # Get data and set train_its and valid_its
    train_iterator, test_iterator, data_init = get_data(hps, sess)
    hps.train_its, hps.test_its, hps.full_test_its = get_its(hps)

    # Create log dir
    logdir = os.path.abspath(hps.logdir) + "/"
    if not os.path.exists(logdir):
        os.mkdir(logdir)

    # Create model
    import model
    model = model.model(sess, hps, train_iterator, test_iterator, data_init)

    # Initialize visualization functions
    visualise = init_visualizations(hps, model, logdir)

    if not hps.inference:
        # Perform training
        train(sess, model, hps, logdir, visualise)
    else:
        infer(sess, model, hps, test_iterator)