(self, x)
| 213 | nn.init.constant_(m.bias, 0) |
| 214 | |
| 215 | def forward(self, x): |
| 216 | features = self.features(x) |
| 217 | out = F.relu(features, inplace=False) |
| 218 | out = F.adaptive_avg_pool2d(out, (1, 1)) |
| 219 | out = torch.flatten(out, 1) |
| 220 | out = self.classifier(out) |
| 221 | return out |
| 222 | |
| 223 | |
| 224 |
nothing calls this directly
no outgoing calls
no test coverage detected