61228f3243eaee39cba31a9abd2afc6ead9612a8,implementations/discogan/models.py,UNetDown,__init__,#UNetDown#,10

Before Change

            model += [nn.InstanceNorm2d(out_size)]

        if dropout:
            model += [nn.Dropout(dropout)]

        self.model = nn.Sequential(*model)

    def forward(self, x):

After Change

            layers.append(nn.InstanceNorm2d(out_size))
        layers.append(nn.LeakyReLU(0.2, inplace=True))
        if dropout:
            layers.append(nn.Dropout(dropout))
        self.model = nn.Sequential(*layers)

    def forward(self, x):
        return self.model(x)

Instances