(self, input)
| 48 | nn.BatchNorm2d(self.output_channel[3]), nn.ReLU(True)) # 512 x 1 x 26 |
| 49 | |
| 50 | def forward(self, input): |
| 51 | return self.ConvNet(input) |
| 52 | |
| 53 | |
| 54 | class ResNet_FeatureExtractor(nn.Module): |
nothing calls this directly
no outgoing calls
no test coverage detected