TypeError: concat() got an unexpected keyword argument 'axis'

[mysope]

I get the following error, is it a TF version issue?
My TF version is 0.12.

$ EVAL_DIR=./logs/
$ CHECKPOINT_PATH=./checkpoints/VGG_VOC0712_SSD_300x300_ft_iter_120000.ckpt
$ python eval_ssd_network.py --eval_dir=${EVAL_DIR} --dataset_dir=${DATASET_DIR} --dataset_name=pascalvoc_2007 --dataset_split_name=test --model_name=ssd_300_vgg --checkpoint_path=${CHECKPOINT_PATH} --batch_size=1
I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcublas.so locally
I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcudnn.so.5 locally
I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcufft.so locally
I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcuda.so.1 locally
I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcurand.so locally

===========================================================================

Training | Evaluation flags:

===========================================================================

{'batch_size': 1,
'checkpoint_path': './checkpoints/VGG_VOC0712_SSD_300x300_ft_iter_120000.ckpt',
'dataset_dir': './VOC2007/',
'dataset_name': 'pascalvoc_2007',
'dataset_split_name': 'test',
'eval_dir': './logs/',
'eval_image_size': None,
'eval_resize': 4,
'gpu_memory_fraction': 0.04,
'keep_top_k': 200,
'master': '',
'matching_threshold': 0.5,
'max_num_batches': None,
'model_name': 'ssd_300_vgg',
'moving_average_decay': None,
'nms_threshold': 0.45,
'num_classes': 21,
'num_preprocessing_threads': 4,
'preprocessing_name': None,
'remove_difficult': True,
'select_threshold': 0.01,
'select_top_k': 400,
'unrolled_lstm': False,
'wait_for_checkpoints': False}

===========================================================================

SSD net parameters:

===========================================================================

{'anchor_offset': 0.5,
'anchor_ratios': [[2, 0.5],
[2, 0.5, 3, 0.3333333333333333],
[2, 0.5, 3, 0.3333333333333333],
[2, 0.5, 3, 0.3333333333333333],
[2, 0.5],
[2, 0.5]],
'anchor_size_bounds': [0.15, 0.9],
'anchor_sizes': [(21.0, 45.0),
(45.0, 99.0),
(99.0, 153.0),
(153.0, 207.0),
(207.0, 261.0),
(261.0, 315.0)],
'anchor_steps': [8, 16, 32, 64, 100, 300],
'feat_layers': ['block4', 'block7', 'block8', 'block9', 'block10', 'block11'],
'feat_shapes': [(38, 38), (19, 19), (10, 10), (5, 5), (3, 3), (1, 1)],
'img_shape': (300, 300),
'no_annotation_label': 21,
'normalizations': [20, -1, -1, -1, -1, -1],
'num_classes': 21,
'prior_scaling': [0.1, 0.1, 0.2, 0.2]}

===========================================================================

Training | Evaluation dataset files:

===========================================================================

['./VOC2007/voc_2007_test.tfrecord']

Traceback (most recent call last):
File "eval_ssd_network.py", line 346, in
tf.app.run()
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/platform/app.py", line 43, in run
sys.exit(main(sys.argv[:1] + flags_passthrough))
File "eval_ssd_network.py", line 162, in main
difficults=None)
File "/home/nwkim/tensorflow-sample/SSD-Tensorflow/preprocessing/preprocessing_factory.py", line 59, in preprocessing_fn
is_training=is_training, **kwargs)
File "/home/nwkim/tensorflow-sample/SSD-Tensorflow/preprocessing/ssd_vgg_preprocessing.py", line 400, in preprocess_image
**kwargs)
File "/home/nwkim/tensorflow-sample/SSD-Tensorflow/preprocessing/ssd_vgg_preprocessing.py", line 322, in preprocess_for_eval
bboxes = tf.concat([bbox_img, bboxes], axis=0)
TypeError: concat() got an unexpected keyword argument 'axis'