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import torch
import argparse
import json
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("--model_dir", type=str, default="./OUTPUT_MODEL/G_latest.pth")
parser.add_argument("--config_dir", type=str, default="./configs/modified_finetune_speaker.json")
args = parser.parse_args()
model_sd = torch.load(args.model_dir, map_location='cpu')
with open(args.config_dir, 'r', encoding='utf-8') as f:
hps = json.load(f)
valid_speakers = list(hps['speakers'].keys())
if hps['data']['n_speakers'] > len(valid_speakers):
new_emb_g = torch.zeros([len(valid_speakers), 256])
old_emb_g = model_sd['model']['emb_g.weight']
for i, speaker in enumerate(valid_speakers):
new_emb_g[i, :] = old_emb_g[hps['speakers'][speaker], :]
hps['speakers'][speaker] = i
hps['data']['n_speakers'] = len(valid_speakers)
model_sd['model']['emb_g.weight'] = new_emb_g
with open("./finetune_speaker.json", 'w', encoding='utf-8') as f:
json.dump(hps, f, indent=2)
torch.save(model_sd, "./G_latest.pth")
else:
with open("./finetune_speaker.json", 'w', encoding='utf-8') as f:
json.dump(hps, f, indent=2)
torch.save(model_sd, "./G_latest.pth")
# save another config file copy in MoeGoe format
hps['speakers'] = valid_speakers
with open("./moegoe_config.json", 'w', encoding='utf-8') as f:
json.dump(hps, f, indent=2)
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