import torch.nn as nn


from torch.autograd import Variable


class RNN(nn.Module):


def __init__(self, input_size, hidden_size, output_size):



    super(RNN, self).__init__()



    self.hidden_size = hidden_size



    self.i2h = nn.Linear(input_size + hidden_size, hidden_size)



    self.i2o = nn.Linear(input_size + hidden_size, output_size)



    self.softmax = nn.LogSoftmax(dim = 1)



def forward(self, input, hidden):



    combined = torch.cat((input, hidden), 1)



    hidden = self.i2h(combined)



    output = self.i2o(combined)



    output = self.softmax(output)



    return output, hidden



def initHidden(self):



    return Variable(torch.zeros(1, self.hidden_size))



I see it in a book named   (Vishnu).
Are there any errors in Line 13th? I mean that ‘combined’ should be replaced by ‘hidden’?
Correspondingly, does the Line 8th should be changed to ’self.h2o = nn.Linear(hidden_size, output_size)‘?
My another reference book gives the similar codes with , so I was very confused.