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import sys
import torch
import argparse
import numpy as np
from utils.load_yaml import HpsYaml
from ppg2mel.train.train_linglf02mel_seq2seq_oneshotvc import Solver
# For reproducibility, comment these may speed up training
torch.backends.cudnn.deterministic = True
torch.backends.cudnn.benchmark = False
def main():
# Arguments
parser = argparse.ArgumentParser(description=
'Training PPG2Mel VC model.')
parser.add_argument('--config', type=str,
help='Path to experiment config, e.g., config/vc.yaml')
parser.add_argument('--name', default=None, type=str, help='Name for logging.')
parser.add_argument('--logdir', default='log/', type=str,
help='Logging path.', required=False)
parser.add_argument('--ckpdir', default='ppg2mel/saved_models/', type=str,
help='Checkpoint path.', required=False)
parser.add_argument('--outdir', default='result/', type=str,
help='Decode output path.', required=False)
parser.add_argument('--load', default=None, type=str,
help='Load pre-trained model (for training only)', required=False)
parser.add_argument('--warm_start', action='store_true',
help='Load model weights only, ignore specified layers.')
parser.add_argument('--seed', default=0, type=int,
help='Random seed for reproducable results.', required=False)
parser.add_argument('--njobs', default=8, type=int,
help='Number of threads for dataloader/decoding.', required=False)
parser.add_argument('--cpu', action='store_true', help='Disable GPU training.')
parser.add_argument('--no-pin', action='store_true',
help='Disable pin-memory for dataloader')
parser.add_argument('--test', action='store_true', help='Test the model.')
parser.add_argument('--no-msg', action='store_true', help='Hide all messages.')
parser.add_argument('--finetune', action='store_true', help='Finetune model')
parser.add_argument('--oneshotvc', action='store_true', help='Oneshot VC model')
parser.add_argument('--bilstm', action='store_true', help='BiLSTM VC model')
parser.add_argument('--lsa', action='store_true', help='Use location-sensitive attention (LSA)')
###
paras = parser.parse_args()
setattr(paras, 'gpu', not paras.cpu)
setattr(paras, 'pin_memory', not paras.no_pin)
setattr(paras, 'verbose', not paras.no_msg)
# Make the config dict dot visitable
config = HpsYaml(paras.config)
np.random.seed(paras.seed)
torch.manual_seed(paras.seed)
if torch.cuda.is_available():
torch.cuda.manual_seed_all(paras.seed)
print(">>> OneShot VC training ...")
mode = "train"
solver = Solver(config, paras, mode)
solver.load_data()
solver.set_model()
solver.exec()
print(">>> Oneshot VC train finished!")
sys.exit(0)
if __name__ == "__main__":
main()
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