(self, x_pre, x)
| 265 | # self.init_weights(init_method) |
| 266 | |
| 267 | def forward(self, x_pre, x): |
| 268 | x = self.deconv(x) |
| 269 | x = torch.cat((x, x_pre), dim=1) |
| 270 | x = self.conv(x) |
| 271 | return x |
| 272 | |
| 273 | |
| 274 | class FeatureNet(nn.Module): |
nothing calls this directly
no outgoing calls
no test coverage detected