import tensorflow as tf

q = tf.FIFOQueue(2, "int32")
init = q.enqueue_many(([0, 10],))
x = q.dequeue()
y = x + 1
q_inc = q.enqueue([y])
with tf.Session() as sess:
init.run()
for _ in range(5):
v, _ = sess.run([x, q_inc])
print(v)

吴裕雄 python 神经网络——TensorFlow 队列操作-LMLPHP

import time
import threading
import numpy as np def MyLoop(coord, worker_id):
while not coord.should_stop():
if np.random.rand()<0.1:
print("Stoping from id: %d\n" % worker_id,coord.request_stop())
else:
print("Working on id: %d\n" % worker_id, time.sleep(1))
coord = tf.train.Coordinator()
threads = [threading.Thread(target=MyLoop, args=(coord, i, )) for i in xrange(5)]
for t in threads:
t.start()
coord.join(threads)

吴裕雄 python 神经网络——TensorFlow 队列操作-LMLPHP

05-28 03:04