def unet_upconv()

in models/networks.py [0:0]

• 8 lines of code
• 2 McCabe index (conditional complexity)

def unet_upconv(input_nc, output_nc, outermost=False, norm_layer=nn.BatchNorm2d):
    upconv = nn.ConvTranspose2d(input_nc, output_nc, kernel_size=4, stride=2, padding=1)
    uprelu = nn.ReLU(True)
    upnorm = norm_layer(output_nc)
    if not outermost:
        return nn.Sequential(*[upconv, upnorm, uprelu])
    else:
        return nn.Sequential(*[upconv, nn.Sigmoid()])