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from synthesizer.hparams import 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 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("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.") | |
parser.add_argument("-m", "--models_dir", type=str, default="synthesizer/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("-l", "--log_every", type=int, default=200, help= \ | |
"Number of steps between summary the training info in tensorboard") | |
parser.add_argument("-f", "--force_restart", action="store_true", help= \ | |
"Do not load any saved model and restart from scratch.") | |
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 = hparams.parse(args.hparams) | |
# Run the training | |
train(**vars(args)) | |