def transfer_summary(vgg, loss, content_shape):
"""
summaries of loss and result image.
"""
image = tf.add(vgg.upstream, VggNet.mean_color_bgr())
image = tf.image.resize_images(image, content_shape)
image = tf.saturate_cast(image, tf.uint8)
image = tf.reverse(image, [3])
summary_image = tf.summary.image('generated image', image, max_outputs=1)
summary_loss = tf.summary.scalar('transfer loss', loss)
return tf.summary.merge([summary_image, summary_loss])
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