def create_conv()

in models/networks.py [0:0]


def create_conv(input_channels, output_channels, kernel, paddings, batch_norm=True, Relu=True, stride=1):
    model = [nn.Conv2d(input_channels, output_channels, kernel, stride = stride, padding = paddings)]
    if(batch_norm):
        model.append(nn.BatchNorm2d(output_channels))
    if(Relu):
        model.append(nn.ReLU())
    return nn.Sequential(*model)