(self, x)
| 137 | m.bias.data.zero_() |
| 138 | |
| 139 | def forward(self, x): |
| 140 | # out = self.conv2d_list[0](x) |
| 141 | # mulBranches = [conv2d_l(x) for conv2d_l in self.conv2d_list] |
| 142 | size = x.shape[2:] |
| 143 | branch_main = self.branch_main(x) |
| 144 | branch_main = F.interpolate(branch_main, size=size, mode='bilinear', align_corners=True) |
| 145 | branch0 = self.branch0(x) |
| 146 | branch1 = self.branch1(x) |
| 147 | branch2 = self.branch2(x) |
| 148 | branch3 = self.branch3(x) |
| 149 | out = torch.cat([branch_main, branch0, branch1, branch2, branch3], 1) |
| 150 | out = self.head(out) |
| 151 | out = self.out(out) |
| 152 | return out |
| 153 | |
| 154 | |
| 155 | """ |
nothing calls this directly
no outgoing calls
no test coverage detected