import tensorflow as tf

x = tf.constant([[1., 1.],
                 [2., 2.]])
tf.reduce_mean(x)  
# 第一個引數是一個集合，可以是列表、二維陣列和多維陣列。
#第二個引數指定在哪個維度上面求平均值。預設對所有的元素求平均
m1 = tf.reduce_mean(x, axis=0)  # [1.5, 1.5]
m2 = tf.reduce_mean(x, 1)  # [1.,  2.]

xx = tf.constant([[[1., 1, 1],
                   [
 
2., 2, 2]],
                  [[3, 3, 3],
                   [4, 4, 4]]])
m3 = tf.reduce_mean(xx, [0, 1]) # [2.5 2.5 2.5]

with tf.Session() as sess:
    sess.run(tf.global_variables_initializer())
    print(sess.run(m1))
    print(sess.run(m2))

    print(xx.get_shape())
    print(sess.run(m3))

[1.5 1.5]
[1. 2.]
(2, 2, 3)
[2.5 2.5 2.5]