Closed passwordhk closed 3 months ago
processors/audio_processor.py第38行修改为
rand_spk = torch.load(emb_upload_path,map_location=torch.device('cpu'))
processors/config_processor.py的save_config函数改为
def save_config(name,con_params: ConfigParams):
con_params.tensor = get_seed_tensor(con_params.audio_seed)
if con_params.custom_emb and con_params.emb_path is not None:
con_params.tensor = torch.load(con_params.emb_path, map_location=torch.device('cpu'))
save_path = os.path.join(get_path('CONFIG_DIR'), f"{name}.pt")
torch.save(con_params, save_path)
return f"配置保存至 {save_path}"
已解决问题,十分感谢开发者!
我的系统环境是 intel 13400F 搭配Amd显卡,在测试环境中发现无法正常自定义音色,有以下报错
Attempting to deserialize object on a CUDA device but torch.cuda.is_available() is False. If you are running on a CPU-only machine, please use torch.load with map_location=torch.device('cpu') to map your storages to the CPU.
请问解决方案是去买个显卡吗 哭死