def METHOD_NAME(in_channels, out_channels, kernel_size, stride, padding, groups=1):
    result = nn.Sequential()
    result.add_module(
        "conv",
        nn.Conv2d(
            in_channels=in_channels,
            out_channels=out_channels,
            kernel_size=kernel_size,
            stride=stride,
            padding=padding,
            groups=groups,
            bias=False,
        ),
    )
    result.add_module("bn", nn.BatchNorm2d(num_features=out_channels))
    return result