Traceback (most recent call last):
File "train.py", line 187, in <module>
main()
File "train.py", line 106, in main
image_batch, label_batch = reader.dequeue(args.batch_size)
File "/data6/weigq/deeplab/tensorflow-deeplab-resnet/deeplab_resnet/image_reader.py", line 121, in dequeue
image_batch, label_batch = tf.train.batch([self.image, self.label], num_elements)
File "/home/liusen/local/anaconda2/envs/tensorflow/lib/python2.7/site-packages/tensorflow/python/training/input.py", line 586, in batch
capacity=capacity, dtypes=types, shapes=shapes, shared_name=shared_name)
File "/home/liusen/local/anaconda2/envs/tensorflow/lib/python2.7/site-packages/tensorflow/python/ops/data_flow_ops.py", line 638, in __init__
shapes = _as_shape_list(shapes, dtypes)
File "/home/liusen/local/anaconda2/envs/tensorflow/lib/python2.7/site-packages/tensorflow/python/ops/data_flow_ops.py", line 72, in _as_shape_list
raise ValueError("All shapes must be fully defined: %s" % shapes)
ValueError: All shapes must be fully defined: [TensorShape([Dimension(321), Dimension(321), Dimension(3)]), TensorShape([Dimension(321), Dimension(321), Dimension(None)])]
I have some thing wrong :
what is the matter