import tensorflow as tf

                    symbol = "\\s"  # For visual purposes, swap space with \s

                f.write("{}\n".format(symbol))

    char_embedding_meta = char_embedding_meta.replace(log_dir, "..")

    # Book keeping
    step = 0
    time_window = ValueWindow(100)
    loss_window = ValueWindow(100)
    saver = tf.train.Saver(max_to_keep=5)

    log("Tacotron training set to a maximum of {} steps".format(args.tacotron_train_steps))

    # Memory allocation on the GPU as needed
    config = tf.ConfigProto()
    config.gpu_options.allow_growth = True
    config.allow_soft_placement = True

    # Train
