Wu Yuxiong - Natural born pythonTensorFlow graphic data: queue operation

Import tensorflow AS TF 

# 1. Create a queue and operating elements inside. 
tf.FIFOQueue = Q (2, " Int32 " ) 
the 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)

Import Time
 Import Threading
 Import numpy AS NP 

# 2. This program every second to determine whether you need to stop and print your own ID. 
DEF myLoop (coord, worker_id):
     the while  Not coord.should_stop ():
         IF np.random.rand () <0.1 :
             Print ( " STOPPING ID from: D% \ n- " % worker_id, coord.request_stop ())
         the else :
             Print ( " Working ON the above mentioned id:% d \ the n- " % worker_id, the time.sleep (1 )) 
            
# 3. create, start and exit the thread. 
= coord  tf.train.Coordinator ()
Threads= [threading.Thread(target=MyLoop, args=(coord, i, )) for i in range(6)]
for t in threads:
    t.start()
coord.join(threads)