def 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("-d", "--metadata_path", default="")
parser.add_argument("-w", "--weights_path", default="")
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=0, 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=15000, 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", default=False, action="store_true", help= \
"Do not load any saved model and restart from scratch.")
args = parser.parse_args()
# 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))
"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))
def run_custom(run_id, syn_dir, voc_dir, models_dir, ground_truth = True, save_every = 1000, backup_every = 25000, force_restart = False):
train(run_id, Path(syn_dir), Path(voc_dir), Path(models_dir), ground_truth, save_every, backup_every, force_restart)