(self, inp)
| 200 | nn.init.constant_(module.conv.featureConv.layer.bias, 0) |
| 201 | |
| 202 | def forward(self, inp): |
| 203 | c1, c2, c4, c8 = inp |
| 204 | |
| 205 | c2 = self.conv_c2(c2) |
| 206 | c4 = self.conv_c4(c4) |
| 207 | |
| 208 | c4 = interpolate(c4, scale_factor=2, mode="nearest") |
| 209 | c2 = interpolate(c2, scale_factor=4, mode="nearest") |
| 210 | c1 = interpolate(c1, scale_factor=4, mode="nearest") |
| 211 | |
| 212 | d1 = self.deconv1(c8) |
| 213 | d1 = d1 + c4 |
| 214 | c9 = self.conv9(d1) |
| 215 | d2 = self.deconv2(c9) |
| 216 | d2 = d2 + c2 |
| 217 | c10 = self.conv10(d2) |
| 218 | d3 = self.deconv3(c10) |
| 219 | d3 = d3 + c1 |
| 220 | c11 = self.conv11(d3) |
| 221 | return c11 |
| 222 | |
| 223 | class UpSampleResNetSkipGated(BaseModule): |
| 224 | def __init__(self, nc_in, nc_out, nf, use_bias, norm, conv_by, conv_type, |
nothing calls this directly
no test coverage detected