image_converter.py 文件源码

def _contents_loss(self, layers, content_layers):
        """
        calculate content difference between original & processing
        """
        loss_contents = chainer.Variable(self.xp.zeros((), dtype=numpy.float32))
        for layer_index in range(len(layers)):
            loss_contents += numpy.float32(self.model.alpha[layer_index]) * chainer.functions.mean_squared_error(
                layers[layer_index],
                content_layers[layer_index])
        return loss_contents