Function main

examples/parallel_wavegan/train_parallel_wavegan.py:244–470

Run training process.

()

def main():
    """Run training process."""
    parser = argparse.ArgumentParser(
        description="Train ParallelWaveGan (See detail in tensorflow_tts/examples/parallel_wavegan/train_parallel_wavegan.py)"
    )
    parser.add_argument(
        "--train-dir",
        default=None,
        type=str,
        help="directory including training data. ",
    )
    parser.add_argument(
        "--dev-dir",
        default=None,
        type=str,
        help="directory including development data. ",
    )
    parser.add_argument(
        "--use-norm", default=1, type=int, help="use norm mels for training or raw."
    )
    parser.add_argument(
        "--outdir", type=str, required=True, help="directory to save checkpoints."
    )
    parser.add_argument(
        "--config", type=str, required=True, help="yaml format configuration file."
    )
    parser.add_argument(
        "--resume",
        default="",
        type=str,
        nargs="?",
        help='checkpoint file path to resume training. (default="")',
    )
    parser.add_argument(
        "--verbose",
        type=int,
        default=1,
        help="logging level. higher is more logging. (default=1)",
    )
    parser.add_argument(
        "--generator_mixed_precision",
        default=0,
        type=int,
        help="using mixed precision for generator or not.",
    )
    parser.add_argument(
        "--discriminator_mixed_precision",
        default=0,
        type=int,
        help="using mixed precision for discriminator or not.",
    )
    args = parser.parse_args()

    # return strategy
    STRATEGY = return_strategy()

    # set mixed precision config
    if args.generator_mixed_precision == 1 or args.discriminator_mixed_precision == 1: