OutOfRangeError closed and has insufficient elements (requested 512, current size 362)

一般来说：capacity的计算公式是： capacity=min_after_dequeue+3*batch_size

1.capacity的计算不对会引发这个问题，

2.num_threads=64 也会引发这个问题，解决方法：把这个暂时去掉，原因尚未知

image_batch, label_batch = tf.train.shuffle_batch([image,label],                                                 batch_size=batch_size,                                                 # num_threads=64,                                                 capacity=capacity,                                                 min_after_dequeue=1000)

解决方法：把num_threads=64 删掉

image_batch, label_batch = tf.train.shuffle_batch([image,label],                                                 batch_size=batch_size,                                                 # num_threads=64,                                                 capacity=capacity,                                                 min_after_dequeue=1000)