forward function takes too many arguments?

[datduong]

I copy/paste the command to train the model, but get the error below

$python34 C:/Users/dat/Desktop/awd-lstm-lm/main.py --batch_size 20 --data C:/Users/dat/Desktop/awd-lstm-lm/data/penn --dropouti 0.4 --dropouth 0.25 --se ed 141 --epoch 500 --save C:/Users/dat/Desktop/awd-lstm-lm/PTB.pickle
Applying weight drop of 0.5 to weight_hh_l0
Applying weight drop of 0.5 to weight_hh_l0
Applying weight drop of 0.5 to weight_hh_l0
[WeightDrop (
(module): LSTM(400, 1150)
), WeightDrop (
(module): LSTM(1150, 1150)
), WeightDrop (
(module): LSTM(1150, 400)
)]
Args: Namespace(alpha=2, batch_size=20, beta=1, bptt=70, clip=0.25, cuda=True, data='C:/Users/dat/Desktop/awd-lstm-lm/data/penn', dropout=0.4, dropoute=0.1, dropouth=0.25, dropouti=0.4, emsize=400, epochs=500, log_interval=200, lr=30, model='LSTM', nhid=1150, nlayers=3, nonmono=5, save='C:/Users/dat/Desktop/awd-lstm-lm/PTB.pickle', seed=141, tied=True, wdecay=1.2e-06, wdrop=0.5)
Model total parameters: 24221600
Traceback (most recent call last):
File "C:/Users/dat/Desktop/awd-lstm-lm/main.py", line 185, in
train()
File "C:/Users/dat/Desktop/awd-lstm-lm/main.py", line 146, in train
output, hidden, rnn_hs, dropped_rnn_hs = model(data, hidden, return_h=True)
File "C:\ProgramData\Anaconda3\lib\site-packages\torch\nn\modules\module.py", line 206, in call
result = self.forward(*input, **kwargs)
File "C:\Users\dat\Desktop\awd-lstm-lm\model.py", line 70, in forward
emb = embedded_dropout(self.encoder, input, dropout=self.dropoute if self.training else 0)
File "C:\Users\dat\Desktop\awd-lstm-lm\embed_regularize.py", line 21, in embedded_dropout
embed.scale_grad_by_freq, embed.sparse
TypeError: forward() takes 3 positional arguments but 8 were given

[adjidieng]

I am facing the same issue as well. Any solution to this @Smerity @keskarnitish

[adjidieng]

@Smerity @keskarnitish this was a version issue. there is no problem when using the specified requirements e.g python 3.6. Feel free to close this. Thanks.