def METHOD_NAME(layer_input, filters, f_size=4, normalization=True):
    """Discriminator layer"""
    d = Conv2D(filters, kernel_size=f_size, strides=2, padding='same')(layer_input)
    d = LeakyReLU(alpha=0.2)(d)
    if normalization:
        d = InstanceNormalization()(d)
    return d