TF batch and batch_join

gistfile1.txt

import tensorflow as tf

tensor_list = [[1,2,3,4], [5,6,7,8],[9,10,11,12],[13,14,15,16],[17,18,19,20]]
tensor_list2 = [[[1,2,3,4]], [[5,6,7,8]],[[9,10,11,12]],[[13,14,15,16]],[[17,18,19,20]]]

with tf.Session() as sess:
    x1 = tf.train.batch(tensor_list, batch_size=4, enqueue_many=False)
    x2 = tf.train.batch(tensor_list, batch_size=4, enqueue_many=True)

    y1 = tf.train.batch_join(tensor_list, batch_size=4, enqueue_many=False)
    y2 = tf.train.batch_join(tensor_list2, batch_size=4, enqueue_many=True)

    coord = tf.train.Coordinator()
    threads = tf.train.start_queue_runners(sess=sess, coord=coord)
    print("x1 batch:"+"-"*10)
    print(sess.run(x1))
    
    print("x2 batch:"+"-"*10)
    print(sess.run(x2))
    
    print("y1 batch:"+"-"*10)
    print(sess.run(y1))
    
    print("y2 batch:"+"-"*10)
    print(sess.run(y2))

    print("-"*10)
    coord.request_stop()
    coord.join(threads)




x1 batch:----------

[array([[1, 2, 3, 4],

       [1, 2, 3, 4],

       [1, 2, 3, 4],

       [1, 2, 3, 4]]), array([[5, 6, 7, 8],

       [5, 6, 7, 8],

       [5, 6, 7, 8],

       [5, 6, 7, 8]]), array([[ 9, 10, 11, 12],

       [ 9, 10, 11, 12],

       [ 9, 10, 11, 12],

       [ 9, 10, 11, 12]]), array([[13, 14, 15, 16],

       [13, 14, 15, 16],

       [13, 14, 15, 16],

       [13, 14, 15, 16]]), array([[17, 18, 19, 20],

       [17, 18, 19, 20],

       [17, 18, 19, 20],

       [17, 18, 19, 20]])]

x2 batch:----------

[array([1, 2, 3, 4]), array([5, 6, 7, 8]), array([ 9, 10, 11, 12]), array([13, 1

4, 15, 16]), array([17, 18, 19, 20])]

y1 batch:----------

[array([ 1,  9, 17,  9]), array([ 2, 10, 18, 10]), array([ 3, 11, 19, 11]), arra

y([ 4, 12, 20, 12])]

y2 batch:----------

[5 6 7 8]

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