parse.py

import argparse

def add_config_options_to_parser(parser):
    parser.add_argument('--config_path', type=str, default='config/fastspeech.yaml',
        help="the yaml config file path.")
    parser.add_argument('--batch_size', type=int, default=32,
        help="batch size for training.")
    parser.add_argument('--epochs', type=int, default=10000,
        help="the number of epoch for training.")
    parser.add_argument('--lr', type=float, default=0.001,
        help="the learning rate for training.")
    parser.add_argument('--save_step', type=int, default=500,
        help="checkpointing interval during training.")
    parser.add_argument('--fastspeech_step', type=int, default=70000,
        help="Global step to restore checkpoint of fastspeech.")
    parser.add_argument('--use_gpu', type=int, default=1,
        help="use gpu or not during training.")
    parser.add_argument('--use_data_parallel', type=int, default=0,
        help="use data parallel or not during training.")
    parser.add_argument('--alpha', type=float, default=1.0,
        help="The hyperparameter to determine the length of the expanded sequence \
                mel, thereby controlling the voice speed.")

    parser.add_argument('--data_path', type=str, default='./dataset/LJSpeech-1.1',
        help="the path of dataset.")
    parser.add_argument('--checkpoint_path', type=str, default=None,
        help="the path to load checkpoint or pretrain model.")
    parser.add_argument('--save_path', type=str, default='./checkpoint',
        help="the path to save checkpoint.")
    parser.add_argument('--log_dir', type=str, default='./log',
        help="the directory to save tensorboard log.")
    parser.add_argument('--sample_path', type=str, default='./sample',
        help="the directory to save audio sample in synthesis.")
    parser.add_argument('--transtts_path', type=str, default='./log',
        help="the directory to load pretrain transformerTTS model.")
    parser.add_argument('--transformer_step', type=int, default=160000,
        help="the step to load transformerTTS model.")