TensorFlow: does tf.train.batch automatically load the next batch when the batch has finished training?

Question

For instance, after I have created my operations, fed the batch data through the operation and run the operation, does tf.train.batch automatically feed in another batch of

Answer 1

You need to call sess.run and pass the batch to it everytime when you want to load the next batch. See the code below.

img = [0,1,2,3,4,5,6,7,8]
lbl = [0,1,2,3,4,5,6,7,8]
images = tf.convert_to_tensor(img)
labels = tf.convert_to_tensor(lbl)
input_queue = tf.train.slice_input_producer([images,labels])
sliced_img = input_queue[0]
sliced_lbl = input_queue[1]

img_batch, lbl_batch = tf.train.batch([sliced_img,sliced_lbl], batch_size=3)
with tf.Session() as sess:
    coord   = tf.train.Coordinator()
    threads = tf.train.start_queue_runners(coord=coord)

    for i in range(0,3): #batch size
        image_batch,label_batch = sess.run([img_batch,lbl_batch ])
        print(image_batch, label_batch)

    coord.request_stop()
    coord.join(threads)

the answer would be something like this:

[4,1,8] [4,1,8]

[2,3,7] [2,3,7]

[2,6,8] [2,6,8]