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| from utils.argutils import print_args | |
| from encoder.train import train | |
| from pathlib import Path | |
| import argparse | |
| if __name__ == "__main__": | |
| parser = argparse.ArgumentParser( | |
| description="Trains the speaker encoder. You must have run encoder_preprocess.py first.", | |
| 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("clean_data_root", type=Path, help= \ | |
| "Path to the output directory of encoder_preprocess.py. If you left the default " | |
| "output directory when preprocessing, it should be <datasets_root>/SV2TTS/encoder/.") | |
| parser.add_argument("-m", "--models_dir", type=Path, default="encoder/saved_models/", help=\ | |
| "Path to the output directory that will contain the saved model weights, as well as " | |
| "backups of those weights and plots generated during training.") | |
| parser.add_argument("-v", "--vis_every", type=int, default=10, help= \ | |
| "Number of steps between updates of the loss and the plots.") | |
| parser.add_argument("-u", "--umap_every", type=int, default=100, help= \ | |
| "Number of steps between updates of the umap projection. Set to 0 to never update the " | |
| "projections.") | |
| parser.add_argument("-s", "--save_every", type=int, default=500, 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=7500, 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.") | |
| parser.add_argument("--visdom_server", type=str, default="http://localhost") | |
| parser.add_argument("--no_visdom", action="store_true", help= \ | |
| "Disable visdom.") | |
| args = parser.parse_args() | |
| # Process the arguments | |
| args.models_dir.mkdir(exist_ok=True) | |
| # Run the training | |
| print_args(args, parser) | |
| train(**vars(args)) | |