| 208 | class MovementConvEncoder(nn.Module): |
| 209 | |
| 210 | def __init__(self, input_size, hidden_size, output_size): |
| 211 | super(MovementConvEncoder, self).__init__() |
| 212 | self.main = nn.Sequential( |
| 213 | nn.Conv1d(input_size, hidden_size, 4, 2, 1), |
| 214 | nn.Dropout(0.2, inplace=True), |
| 215 | nn.LeakyReLU(0.2, inplace=True), |
| 216 | nn.Conv1d(hidden_size, output_size, 4, 2, 1), |
| 217 | nn.Dropout(0.2, inplace=True), |
| 218 | nn.LeakyReLU(0.2, inplace=True), |
| 219 | ) |
| 220 | self.out_net = nn.Linear(output_size, output_size) |
| 221 | self.main.apply(init_weight) |
| 222 | self.out_net.apply(init_weight) |
| 223 | |
| 224 | def forward(self, inputs): |
| 225 | inputs = inputs.permute(0, 2, 1) |