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训练模型出错请教

您好，我按照您README.md文件中描述的步骤，使用现有模型能够正常运行。但训练模型时总是报错。提示如下：

python train.py -c conf/wave.yml
INFO:tensorflow:Scale of 0 disables regularizer.
Traceback (most recent call last):
  File "train.py", line 134, in <module>
    main(FLAGS)
  File "train.py", line 25, in main
    style_features_t = losses.get_style_features(FLAGS)
  File "/home/ubuntu/MachineLearning/fast_neural_style-tensorflow/losses.py", line 46, in get_style_features
    images = tf.pack([image_preprocessing_fn(image, size, size)])
AttributeError: module 'tensorflow' has no attribute 'pack'

不知道是我设置不对还是什么原因？
我个人怀疑有可能是这么几个原因：

1、TensorFlow-Slim我没有安装。这个需要另外安装吗？

2、由于使用的TensorFlow1.0.0版，某个函数相较于老版本发生了变化。就像您在hzy46/fast-neural-style-tensorflow#9
中提到的函数参数位置发生了变化（可参考hzy46/fast-neural-style-tensorflow#2 ）。
3、下载了COCO dataset之后，建立符号链接这句描述我不太确定是什么含义

cd <this repo>
ln -s <your path to the folder "train2014"> train2014

我的COCO dataset 放在 ~/MachineLearning/fast_neural_style-tensorflow/models/train2014，我一开始使用

cd ~/MachineLearning/fast_neural_style-tensorflow/models/train2014
ln -s ~/MachineLearning/fast_neural_style-tensorflow/models/train2014 train2014

在数据集文件夹train2014内部建立了符号链接，然后返回到fast_neural_style-tensorflow文件夹，
python train.py -c conf/wave.yml
报前述错误。
后来我又在fast_neural_style-tensorflow文件夹下
ln -s ~/MachineLearning/fast_neural_style-tensorflow/models/train2014 train2014
建立了符号链接train2014，
再 python train.py -c conf/wave.yml
还是报前述同样的错误。
我是否建立链接的位置不对？

TensorFlow初学者，写得太多了，占用了您的宝贵时间，非常渴望得到您的指点。
万分感谢！

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