tf_queuing.py 文件源码

def cifar_filename_queue(filename_list):
    # convert the list to a tensor
    string_tensor = tf.convert_to_tensor(filename_list, dtype=tf.string)
    # randomize the tensor
    tf.random_shuffle(string_tensor)
    # create the queue
    fq = tf.FIFOQueue(capacity=10, dtypes=tf.string)
    # create our enqueue_op for this q
    fq_enqueue_op = fq.enqueue_many([string_tensor])
    # create a QueueRunner and add to queue runner list
    # we only need one thread for this simple queue
    tf.train.add_queue_runner(tf.train.QueueRunner(fq, [fq_enqueue_op] * 1))
    return fq