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# Created 2016-04-03
# Tensorflow version: 0.7


    

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import numpy as np
import tensorflow as tf


    

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a = tf.constant([[1, 2, 3], 
                 [4, 5, 6]])
b = tf.constant([[7, 8, 9], 
                 [0, 1, 2]])

# Concat on first dimension gives
# [[1 2 3]
#  [4 5 6]
#  [7 8 9]
#  [0 1 2]]
c = tf.concat(0, [a, b])

# Concat on first dimension gives
# [[1 2 3 7 8 9]
#  [4 5 6 0 1 2]]
d = tf.concat(1, [a, b])

with tf.Session() as sess:
    eval_c, eval_d = sess.run([c, d])
    print(eval_c)
    print(eval_d)