Azusa-GPT-SoVITS / process_ckpt.py
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import traceback
from collections import OrderedDict
import torch
from tools.i18n.i18n import I18nAuto
i18n = I18nAuto()
def savee(ckpt, name, epoch, steps, hps):
try:
opt = OrderedDict()
opt["weight"] = {}
for key in ckpt.keys():
if "enc_q" in key:
continue
opt["weight"][key] = ckpt[key].half()
opt["config"] = hps
opt["info"] = "%sepoch_%siteration" % (epoch, steps)
torch.save(opt, "%s/%s.pth" % (hps.save_weight_dir, name))
return "Success."
except:
return traceback.format_exc()