tfsess_model.py

sess = tf.InteractiveSession()

model = load_vgg_model(VGG_MODEL)

# Construct content_loss using content_image.
content_image_list = np.reshape(content_image, ((1,) + content_image.shape))
sess.run(model['input'].assign(content_image_list))
content_loss = content_loss_func(sess, model)

# Construct style_loss using style_image.
style_image_list = np.reshape(style_image, ((1,) + style_image.shape))
sess.run(model['input'].assign(style_image_list))
style_loss = style_loss_func(sess, model)