0d682b1227799ae56d1031a6a1adbb385a70a6e2,vis/regularizers.py,,normalize,#Any#Any#,10

Before Change

        The normalized expression.
    
    samples, c, w, h = utils.get_img_shape(img)
    return value / (c * w * h)


class TotalVariation(Loss):

After Change

    Returns:
        The normalized expression.
    
    return value / np.prod(K.int_shape(img)[1:])


class TotalVariation(Loss):

Instances