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import tensorflow as tf
data=[
[1.1,[1]],
[2.2,[2,2]],
[3.3,[3,3,3]],
[4.4,[4,4,4,4]]
]
with tf.Session() as sess:
qr = tf.PaddingFIFOQueue(capacity=4, dtypes=[tf.float64,tf.uint8], shapes=[[],[None]])
en_qr_1 = qr.enqueue(data[0])
en_qr_2 = qr.enqueue(data[1])
en_qr_3 = qr.enqueue(data[2])
sess.run(en_qr_1)
sess.run(en_qr_2)
sess.run(en_qr_3)
n=qr.size()
num=sess.run(n)
de_qr = qr.dequeue_many(3)
res = sess.run(de_qr)
print("\nres[0]:\n",res[0],
"\nres[1]:\n",res[1],
"\n num: \n",num)
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