import numpy as np
import tensorflow as tf

data_np = np.random.randint(0, 100, (100, 5))
dataset = tf.data.Dataset.from_tensor_slices((data_np)).shuffle(100).batch(20)
iterator = dataset.make_one_shot_iterator()
next_batch = iterator.get_next()

sess = tf.Session()
while True:
    try:
        print(sess.run(next_batch))
    except tf.errors.OutOfRangeError:
        break