(resnet)
| 190 | |
| 191 | |
| 192 | def _make_resnet_backbone(resnet): |
| 193 | pretrained = nn.Module() |
| 194 | pretrained.layer1 = nn.Sequential( |
| 195 | resnet.conv1, resnet.bn1, resnet.relu, resnet.maxpool, resnet.layer1 |
| 196 | ) |
| 197 | |
| 198 | pretrained.layer2 = resnet.layer2 |
| 199 | pretrained.layer3 = resnet.layer3 |
| 200 | pretrained.layer4 = resnet.layer4 |
| 201 | |
| 202 | return pretrained |
| 203 | |
| 204 | |
| 205 | def _make_pretrained_resnext101_wsl(use_pretrained): |
no outgoing calls
no test coverage detected