您好！想问一下这个是什么错误，不太会

[Evanlovea]

Traceback (most recent call last):
File "G:/speech_code/TasNet/src/train.py", line 56, in
main(ts)
File "G:/speech_code/TasNet/src/train.py", line 52, in main
solver.train()
File "G:\speech_code\TasNet\src\solver.py", line 75, in train
tr_avg_loss = self._run_one_epoch(epoch)
File "G:\speech_code\TasNet\src\solver.py", line 176, in _run_one_epoch
estimate_source = self.model(padded_mixture, mixture_lengths)
File "D:\Users\15229\anaconda3\envs\speech\lib\site-packages\torch\nn\modules\module.py", line 889, in _call_impl
result = self.forward(*input, **kwargs)
File "G:\speech_code\TasNet\src\tasnet.py", line 37, in forward
est_mask = self.separator(mixture_w, mixture_lengths)
File "D:\Users\15229\anaconda3\envs\speech\lib\site-packages\torch\nn\modules\module.py", line 889, in _call_impl
result = self.forward(*input, **kwargs)
File "G:\speech_code\TasNet\src\tasnet.py", line 162, in forward
packed_output, hidden = self.rnn(packed_input)
File "D:\Users\15229\anaconda3\envs\speech\lib\site-packages\torch\nn\modules\module.py", line 889, in _call_impl
result = self.forward(*input, **kwargs)
File "D:\Users\15229\anaconda3\envs\speech\lib\site-packages\torch\nn\modules\rnn.py", line 664, in forward
result = _VF.lstm(input, batch_sizes, hx, self._flat_weights, self.bias,
TypeError: lstm() received an invalid combination of arguments - got (Tensor, Tensor, tuple, list, bool, int, float, bool, int), but expected one of:

• (Tensor data, Tensor batch_sizes, tuple of Tensors hx, tuple of Tensors params, bool has_biases, int num_layers, float dropout, bool train, bool bidirectional)
  didn't match because some of the arguments have invalid types: (Tensor, Tensor, !tuple!, !list!, bool, int, float, bool, !int!)
• (Tensor input, tuple of Tensors hx, tuple of Tensors params, bool has_biases, int num_layers, float dropout, bool train, bool bidirectional, bool batch_first)
  didn't match because some of the arguments have invalid types: (Tensor, !Tensor!, !tuple!, !list!, !bool!, int, !float!, bool, !int!)

[Evanlovea]

作者说这部分没有用，后面会删掉

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---原始邮件--- 发件人: ***@***.***> 发送时间: 2022年3月15日 13:24:14 收件人: ***@***.***>; 抄送: ***@***.******@***.***>; 主题: Re: [kaituoxu/TasNet] 您好！想问一下这个是什么错误，不太会 (#5) Is your problem solved, how did you solve it? — Reply to this email directly, view it on GitHub, or unsubscribe. Triage notifications on the go with GitHub Mobile for iOS or Android. You are receiving this because you authored the thread.Message ID: ***@***.***>

[SsssSunhy]

把这个
model = TasNet(args.L, args.N, args.hidden_size, args.num_layers,
bidirectional=args.bidirectional, nspk=args.nspk)
改成这个
model = TasNet(args.L, args.N, args.hidden_size, args.num_layers,
bidirectional=bool(args.bidirectional), nspk=args.nspk)
就可以用了，在注意一下torch的版本，最好不要高于1.5.0

[Evanlovea]

好的，谢谢

…

---原始邮件--- 发件人: ***@***.***> 发送时间: 2022年3月15日 20:17:23 收件人: ***@***.***>; 抄送: ***@***.******@***.***>; 主题: Re: [kaituoxu/TasNet] 您好！想问一下这个是什么错误，不太会 (#5) 把这个 model = TasNet(args.L, args.N, args.hidden_size, args.num_layers, bidirectional=args.bidirectional, nspk=args.nspk) 改成这个 model = TasNet(args.L, args.N, args.hidden_size, args.num_layers, bidirectional=bool(args.bidirectional), nspk=args.nspk) 就可以用了，在注意一下torch的版本，最好不要高于1.5.0 — Reply to this email directly, view it on GitHub, or unsubscribe. Triage notifications on the go with GitHub Mobile for iOS or Android. You are receiving this because you authored the thread.Message ID: ***@***.***>