def METHOD_NAME(layer_input, filters, f_size=4, bn=True):
    """Layers used during downsampling"""
    d = Conv2D(filters, kernel_size=f_size, strides=2, padding='same')(layer_input)
    d = LeakyReLU(alpha=0.2)(d)
    if bn:
        d = BatchNormalization(momentum=0.8)(d)
    return d