(self, x)
| 98 | self.bn = nn.BatchNorm2d(C_out, affine=affine) |
| 99 | |
| 100 | def forward(self, x): |
| 101 | x = self.relu(x) |
| 102 | out = torch.cat([self.conv_1(x), self.conv_2(x[:,:,1:,1:])], dim=1) |
| 103 | out = self.bn(out) |
| 104 | return out |
| 105 |
nothing calls this directly
no outgoing calls
no test coverage detected