1cb6edf4c090461a7e43bfd1b866aaba4b02cabe,vis/regularizers.py,,normalize,#Any#Any#,11

Before Change

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


class TotalVariation(Loss):

After Change

        The normalized tensor.
    
    image_dims = utils.get_img_shape(img)[1:]
    return tensor / np.prod(image_dims)


class TotalVariation(Loss):

Instances