kwau/sovits-isla

1from collections import OrderedDict2 3import torch4 5import utils6from models import SynthesizerTrn7 8 9def copyStateDict(state_dict):10    if list(state_dict.keys())[0].startswith('module'):11        start_idx = 112    else:13        start_idx = 014    new_state_dict = OrderedDict()15    for k, v in state_dict.items():16        name = ','.join(k.split('.')[start_idx:])17        new_state_dict[name] = v18    return new_state_dict19 20 21def removeOptimizer(config: str, input_model: str, ishalf: bool, output_model: str):22    hps = utils.get_hparams_from_file(config)23 24    net_g = SynthesizerTrn(hps.data.filter_length // 2 + 1,25                           hps.train.segment_size // hps.data.hop_length,26                           **hps.model)27 28    optim_g = torch.optim.AdamW(net_g.parameters(),29                                hps.train.learning_rate,30                                betas=hps.train.betas,31                                eps=hps.train.eps)32 33    state_dict_g = torch.load(input_model, map_location="cpu")34    new_dict_g = copyStateDict(state_dict_g)35    keys = []36    for k, v in new_dict_g['model'].items():37        if "enc_q" in k: continue  # noqa: E70138        keys.append(k)39    40    new_dict_g = {k: new_dict_g['model'][k].half() for k in keys} if ishalf else {k: new_dict_g['model'][k] for k in keys}41 42    torch.save(43        {44            'model': new_dict_g,45            'iteration': 0,46            'optimizer': optim_g.state_dict(),47            'learning_rate': 0.000148        }, output_model)49 50 51if __name__ == "__main__":52    import argparse53    parser = argparse.ArgumentParser()54    parser.add_argument("-c",55                        "--config",56                        type=str,57                        default='configs/config.json')58    parser.add_argument("-i", "--input", type=str)59    parser.add_argument("-o", "--output", type=str, default=None)60    parser.add_argument('-hf', '--half', action='store_true', default=False, help='Save as FP16')61    62    args = parser.parse_args()63 64    output = args.output65 66    if output is None:67        import os.path68        filename, ext = os.path.splitext(args.input)69        half = "_half" if args.half else ""70        output = filename + "_release" + half + ext71 72    removeOptimizer(args.config, args.input, args.half, output)