import tensorflow as tf
import numpy as np

x = tf.constant([1,2,3,4])
y = tf.transpose(x)
with tf.Session() as sess:
    print(sess.run(y),sess.run(y).shape)

‘‘‘
輸出：[1 2 3 4] (4,)
tf.transpose(x)在1階張量上使用，不變
‘‘‘

x = tf.constant([[1, 2], [3, 4]])
y1 = tf.transpose(x,[0,1])
y2 = tf.transpose(x,[1,0])
with tf.Session() as sess:
 
    print(sess.run(y1), sess.run(y1).shape)
    print(sess.run(y2), sess.run(y2).shape)

‘‘‘
輸出：
[[1 2]
 [3 4]] (2, 2)
[[1 3]
 [2 4]] (2, 2)
 
 y1 = tf.transpose(x,[0,1]): y1=x
 y2 = tf.transpose(x,[1,0]): y2=x進行矩陣轉置y2[i][j]=x[j][i]
‘‘‘


x = tf.constant([[[1, 2], [3, 4]], [[11, 12], [13, 14]]])
y1 = tf.transpose(x,[0,1,2])
 
y2 = tf.transpose(x,[1,0,2])
y3 = tf.transpose(x,[2,1,0])
with tf.Session() as sess:
    print(sess.run(y1), sess.run(y1).shape)
    print(sess.run(y2), sess.run(y2).shape)
    print(sess.run(y3), sess.run(y3).shape)
‘‘‘
[[[ 1  2]
  [ 3  4]]

 [[11 12]
  [13 14]]] (2, 2, 2)
  
y1 = tf.transpose(x,[0,1,2]): 不變
y2 = tf.transpose(x,[1,0,2])：y2[i][j][k]=x[j][i][k]
 
y3 = tf.transpose(x,[2,1,0])：y3[i][j][k]=x[k][j][i]

‘‘‘

tf.transpose函數解析