script to grasp what the idea behind the range_input_producer

range_input_producer.py

# range_input_producer(
#                      limit,
#                      num_epochs=None,
#                      shuffle=True,
#                      seed=None,
#                      capacity=32,
#                      shared_name=None,
#                      name=None)

# Produces the integers from 0 to limit-1 in a queue.

import tensorflow as tf

i = tf.train.range_input_producer(10, shuffle=False).dequeue()

with tf.Session() as sess:
    coord = tf.train.Coordinator()
    tf.train.start_queue_runners(sess, coord=coord)
    try:
        for step in range(11):
            print(sess.run(i))
    except Exception as e:
            print("Exception")
            coord.request_stop()
    finally:
        coord.request_stop()
        coord.join()