(self, x)
| 156 | return nn.Sequential(*layers) |
| 157 | |
| 158 | def forward(self, x): |
| 159 | x = self.conv1(x) |
| 160 | x = self.bn1(x) |
| 161 | x = self.relu(x) |
| 162 | x = self.maxpool(x) |
| 163 | |
| 164 | features = [] |
| 165 | |
| 166 | x = self.layer1(x) |
| 167 | features.append(x) |
| 168 | x = self.layer2(x) |
| 169 | features.append(x) |
| 170 | x = self.layer3(x) |
| 171 | features.append(x) |
| 172 | x = self.layer4(x) |
| 173 | features.append(x) |
| 174 | |
| 175 | # x = self.avgpool(x) |
| 176 | # x = x.view(x.size(0), -1) |
| 177 | # x = self.fc(x) |
| 178 | |
| 179 | return features |
| 180 | |
| 181 | |
| 182 | def resnet18(pretrained=False, **kwargs): |
nothing calls this directly
no outgoing calls
no test coverage detected