(self, input_size, hidden_size)
| 143 | |
| 144 | class LSTMEncoder(nn.Module): |
| 145 | def __init__(self, input_size, hidden_size): |
| 146 | super(LSTMEncoder, self).__init__() |
| 147 | self.input_size = input_size |
| 148 | self.hidden_size = hidden_size |
| 149 | self.sequence_cell = nn.LSTMCell(input_size, hidden_size) |
| 150 | self.avgpool = nn.AdaptiveAvgPool2d((None, 1)) |
| 151 | |
| 152 | def forward(self, features): |
| 153 | batch_size = features.size(0) |