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| from utils.argutils import print_args | |
| from vocoder.train import train | |
| from pathlib import Path | |
| import argparse | |
| if __name__ == "__main__": | |
| parser = argparse.ArgumentParser( | |
| description="Trains the vocoder from the synthesizer audios and the GTA synthesized mels, " | |
| "or ground truth mels.", | |
| formatter_class=argparse.ArgumentDefaultsHelpFormatter | |
| ) | |
| parser.add_argument("run_id", type=str, help= \ | |
| "Name for this model instance. If a model state from the same run ID was previously " | |
| "saved, the training will restart from there. Pass -f to overwrite saved states and " | |
| "restart from scratch.") | |
| parser.add_argument("datasets_root", type=str, help= \ | |
| "Path to the directory containing your SV2TTS directory. Specifying --syn_dir or --voc_dir " | |
| "will take priority over this argument.") | |
| parser.add_argument("--syn_dir", type=str, default=argparse.SUPPRESS, help= \ | |
| "Path to the synthesizer directory that contains the ground truth mel spectrograms, " | |
| "the wavs and the embeds. Defaults to <datasets_root>/SV2TTS/synthesizer/.") | |
| parser.add_argument("--voc_dir", type=str, default=argparse.SUPPRESS, help= \ | |
| "Path to the vocoder directory that contains the GTA synthesized mel spectrograms. " | |
| "Defaults to <datasets_root>/SV2TTS/vocoder/. Unused if --ground_truth is passed.") | |
| parser.add_argument("-m", "--models_dir", type=str, default="vocoder/saved_models/", help=\ | |
| "Path to the directory that will contain the saved model weights, as well as backups " | |
| "of those weights and wavs generated during training.") | |
| parser.add_argument("-g", "--ground_truth", action="store_true", help= \ | |
| "Train on ground truth spectrograms (<datasets_root>/SV2TTS/synthesizer/mels).") | |
| parser.add_argument("-s", "--save_every", type=int, default=1000, help= \ | |
| "Number of steps between updates of the model on the disk. Set to 0 to never save the " | |
| "model.") | |
| parser.add_argument("-b", "--backup_every", type=int, default=25000, help= \ | |
| "Number of steps between backups of the model. Set to 0 to never make backups of the " | |
| "model.") | |
| parser.add_argument("-f", "--force_restart", action="store_true", help= \ | |
| "Do not load any saved model and restart from scratch.") | |
| args = parser.parse_args() | |
| # Process the arguments | |
| if not hasattr(args, "syn_dir"): | |
| args.syn_dir = Path(args.datasets_root, "SV2TTS", "synthesizer") | |
| args.syn_dir = Path(args.syn_dir) | |
| if not hasattr(args, "voc_dir"): | |
| args.voc_dir = Path(args.datasets_root, "SV2TTS", "vocoder") | |
| args.voc_dir = Path(args.voc_dir) | |
| del args.datasets_root | |
| args.models_dir = Path(args.models_dir) | |
| args.models_dir.mkdir(exist_ok=True) | |
| # Run the training | |
| print_args(args, parser) | |
| train(**vars(args)) | |