(self, input_size, hidden_size, output_size)
| 81 | class BidirectionalRNN(nn.Module): |
| 82 | |
| 83 | def __init__(self, input_size, hidden_size, output_size): |
| 84 | super(BidirectionalRNN, self).__init__() |
| 85 | self.rnn = nn.RNN(input_size, hidden_size, bidirectional=True, batch_first=True) |
| 86 | self.linear = nn.Linear(hidden_size * 2, output_size) |
| 87 | |
| 88 | def forward(self, input): |
| 89 | """ |