import tensorflow as tf
import numpy as np
import os


# My CPU supports lower level instructions so this line is required

os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'


np.random.seed(100)
array = np.random.randint(1, 11, size=(6, 10))
all_num = np.array([[1, 2, 3, 4, 5, 6, 7, 8, 9, 10], ]*6)
all_ones = np.ones((1, 10))

tensor = tf.Variable(initial_value=array, dtype=tf.int32)
add = tf.Variable(initial_value=all_num, dtype=tf.int32)

modified = tf.concat([tensor, add], 1)

modified = tf.sort(modified)

count = []

for row in tf.unstack(modified):
    out, idx, count_temp = tf.unique_with_counts(row)
    count.append(count_temp)


init = tf.global_variables_initializer()


with tf.Session() as sess:
    sess.run(init)
    for row in count:
        print(sess.run(row - all_ones))