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| from pathlib import Path | |
| from synthesizer.hparams import syn_hparams | |
| from synthesizer.train import train | |
| from utils.argutils import print_args | |
| import argparse | |
| if __name__ == "__main__": | |
| parser = argparse.ArgumentParser() | |
| parser.add_argument("run_id", type=str, help= \ | |
| "Name for this model. By default, training outputs will be stored to saved_models/<run_id>/. 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("syn_dir", type=Path, help= \ | |
| "Path to the synthesizer directory that contains the ground truth mel spectrograms, " | |
| "the wavs and the embeds.") | |
| parser.add_argument("-m", "--models_dir", type=Path, default="saved_models", help=\ | |
| "Path to the output directory that will contain the saved model weights and the logs.") | |
| 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.") | |
| parser.add_argument("--use_tb", action="store_true", help= \ | |
| "Use Tensorboard support") | |
| parser.add_argument("--hparams", default="", help=\ | |
| "Hyperparameter overrides as a comma-separated list of name=value pairs") | |
| args = parser.parse_args() | |
| print_args(args, parser) | |
| args.hparams = syn_hparams.parse(args.hparams) | |
| # Run the training | |
| train(**vars(args)) | |