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from pathlib import Path |
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from synthesizer.hparams import hparams |
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from synthesizer.train import train |
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from utils.argutils import print_args |
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import argparse |
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if __name__ == "__main__": |
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parser = argparse.ArgumentParser() |
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parser.add_argument("run_id", type=str, help= \ |
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"Name for this model. By default, training outputs will be stored to saved_models/<run_id>/. If a model state " |
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"from the same run ID was previously saved, the training will restart from there. Pass -f to overwrite saved " |
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"states and restart from scratch.") |
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parser.add_argument("syn_dir", type=Path, help= \ |
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"Path to the synthesizer directory that contains the ground truth mel spectrograms, " |
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"the wavs and the embeds.") |
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parser.add_argument("-m", "--models_dir", type=Path, default="saved_models", help=\ |
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"Path to the output directory that will contain the saved model weights and the logs.") |
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parser.add_argument("-s", "--save_every", type=int, default=1000, help= \ |
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"Number of steps between updates of the model on the disk. Set to 0 to never save the " |
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"model.") |
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parser.add_argument("-b", "--backup_every", type=int, default=25000, help= \ |
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"Number of steps between backups of the model. Set to 0 to never make backups of the " |
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"model.") |
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parser.add_argument("-f", "--force_restart", action="store_true", help= \ |
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"Do not load any saved model and restart from scratch.") |
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parser.add_argument("--hparams", default="", help=\ |
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"Hyperparameter overrides as a comma-separated list of name=value pairs") |
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args = parser.parse_args() |
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print_args(args, parser) |
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args.hparams = hparams.parse(args.hparams) |
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train(**vars(args)) |
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