(self,x)
| 23 | self.use_dropout = use_dropout |
| 24 | self.dropout = torch.nn.Dropout(p=0.5) |
| 25 | def forward(self,x): |
| 26 | x = self.conv(x) |
| 27 | x = self.dropout(x) if self.use_dropout else x |
| 28 | return x |
| 29 | |
| 30 | class Generator(torch.nn.Module): |
| 31 | def __init__(self,in_channles=3,features=64): |
nothing calls this directly
no outgoing calls
no test coverage detected