tensorflow datasetのshuffle()、repeat()、batch()の使い方

import numpy as np
import tensorflow as tf
np.random.seed(0)
x = np.random.sample((11,2))
# make a dataset from a numpy array
print(x)

dataset = tf.data.Dataset.from_tensor_slices(x)
dataset = dataset.shuffle(2)#     ，    ，      
dataset = dataset.batch(4)#      4   ，          batch
dataset = dataset.repeat()#          
# repeat() batch          ,    ，              
#        ，    repeat() 

# create the iterator
iter = dataset.make_one_shot_iterator()
el = iter.get_next()

with tf.Session() as sess:
    for i in range(6):
        value = sess.run(el)
        print(value)