Tensorflow中某些元素的顺序颠倒

import tensorflow as tf

# 创建一个形状为[3, 4, 5]的张量
x = tf.constant([[[1, 2, 3, 4, 5],
                  [6, 7, 8, 9, 10],
                  [11, 12, 13, 14, 15],
                  [16, 17, 18, 19, 20]],
                 [[21, 22, 23, 24, 25],
                  [26, 27, 28, 29, 30],
                  [31, 32, 33, 34, 35],
                  [36, 37, 38, 39, 40]],
                 [[41, 42, 43, 44, 45],
                  [46, 47, 48, 49, 50],
                  [51, 52, 53, 54, 55],
                  [56, 57, 58, 59, 60]]])

# 颠倒第一个维度和第三个维度的顺序
y = tf.reverse(x, [0, 2])

with tf.Session() as sess:
    result = sess.run(y)
    print(result)

[[[56 57 58 59 60]
  [51 52 53 54 55]
  [46 47 48 49 50]
  [41 42 43 44 45]]

 [[36 37 38 39 40]
  [31 32 33 34 35]
  [26 27 28 29 30]
  [21 22 23 24 25]]

 [[16 17 18 19 20]
  [11 12 13 14 15]
  [ 6  7  8  9 10]
  [ 1  2  3  4  5]]]