(self, features)
| 71 | self.conv3 = nn.Conv2d(128, num_classes, kernel_size=3, stride=1, padding=1) |
| 72 | |
| 73 | def forward(self, features): |
| 74 | x_block0, x_block1, x_block2, x_block3, x_block4 = features[4], features[5], features[6], features[8], features[11] |
| 75 | x_d0 = self.conv2(x_block4) |
| 76 | x_d1 = self.up1(x_d0, x_block3) |
| 77 | x_d2 = self.up2(x_d1, x_block2) |
| 78 | x_d3 = self.up3(x_d2, x_block1) |
| 79 | x_d4 = self.up4(x_d3, x_block0) |
| 80 | out = self.conv3(x_d4) |
| 81 | return out |
| 82 | |
| 83 | |
| 84 | if __name__ == '__main__': |
nothing calls this directly
no outgoing calls
no test coverage detected