(self,x,w)
| 134 | self.adain2 = AdaIN(out_channels,w_dim) |
| 135 | |
| 136 | def forward(self,x,w): |
| 137 | x = self.adain1(self.leaky(self.inject_noise1(self.conv1(x))),w) |
| 138 | x = self.adain2(self.leaky(self.inject_noise2(self.conv2(x))),w) |
| 139 | return x |
| 140 | |
| 141 | class ConvBlock(torch.nn.Module): |
| 142 | def __init__(self,in_channels,out_channels): |
nothing calls this directly
no outgoing calls
no test coverage detected