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import argparse |
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from pathlib import Path |
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from utils.argutils import print_args |
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from vocoder.train import train |
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if __name__ == "__main__": |
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parser = argparse.ArgumentParser( |
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description="Trains the vocoder from the synthesizer audios and the GTA synthesized mels, " |
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"or ground truth mels.", |
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formatter_class=argparse.ArgumentDefaultsHelpFormatter |
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) |
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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("datasets_root", type=Path, help= \ |
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"Path to the directory containing your SV2TTS directory. Specifying --syn_dir or --voc_dir " |
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"will take priority over this argument.") |
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parser.add_argument("--syn_dir", type=Path, default=argparse.SUPPRESS, 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. Defaults to <datasets_root>/SV2TTS/synthesizer/.") |
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parser.add_argument("--voc_dir", type=Path, default=argparse.SUPPRESS, help= \ |
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"Path to the vocoder directory that contains the GTA synthesized mel spectrograms. " |
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"Defaults to <datasets_root>/SV2TTS/vocoder/. Unused if --ground_truth is passed.") |
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parser.add_argument("-m", "--models_dir", type=Path, default="saved_models", help=\ |
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"Path to the directory that will contain the saved model weights, as well as backups " |
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"of those weights and wavs generated during training.") |
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parser.add_argument("-g", "--ground_truth", action="store_true", help= \ |
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"Train on ground truth spectrograms (<datasets_root>/SV2TTS/synthesizer/mels).") |
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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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args = parser.parse_args() |
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if not hasattr(args, "syn_dir"): |
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args.syn_dir = args.datasets_root / "SV2TTS" / "synthesizer" |
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if not hasattr(args, "voc_dir"): |
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args.voc_dir = args.datasets_root / "SV2TTS" / "vocoder" |
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del args.datasets_root |
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args.models_dir.mkdir(exist_ok=True) |
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print_args(args, parser) |
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train(**vars(args)) |
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