当菜鸟（我）使用高版本torch时，遇到的需要注意的地方 Problems I have met when I using high version torch

[InnerPeace-code]

1. TypeError: lstm() received an invalid combination of arguments:
   https://blog.csdn.net/yhoon0101/article/details/131649166
   修改代码为：(line 37 in train.py)
   parser.add_argument('--bidirectional', default=True, type=bool, help='Whether use bidirectional LSTM')

2. RuntimeError: ‘lengths‘ argument should be a 1D CPU int64 tensor, but got 1D cuda:0 Long tensor:
   https://blog.csdn.net/weixin_45084253/article/details/122269699
   修改代码为：(line 179 in solver.py)
   estimate_source = self.model(padded_mixture, mixture_lengths.to("cpu"))

我升级为高版本torch是因为遇到runtimeerror: cudnn error: cudnn_status_mapping_error错误，我的原因是因为torch版本和cuda版本不太兼容