二维矩阵的转置很简单,元素的i,j坐标交换就行。多为矩阵的转换复杂,遵循什么规律呢? 先看看代码: import tensorflow as tf import numpy as np print("二维矩阵的转置\n") t=[[1,2,3],[4,5,6]] t1=tf.transpose(t) t2=tf.transpose(t,[0,1])#[0,1]是正常的坐标轴排列顺序,运行结果不转置 t3=tf.transpose(t,[1,0]) sess=tf.Session() print("Default Transepose is:\n",sess.run(t1),"\n[0,1] Tranpose is:\n",sess.run(t2),"\n[1,0] Tranpose is:\n",sess.run(t3)) print("三维矩阵的转置") t=[[[1,2,3],[4,5,6]],[[7,8,9],[10,11,12]]]#这个三维矩阵有两张表格,每个表格都是2行3列 print("先测试不带perm参数的默认转置和参数顺序为不转置的正常坐标轴顺序[0,1,2]转置结果") t1=tf.transpose(t) t2=tf.transpose(t,[0,1,2]) print(sess.run(t1)) print(sess.run(t2)) 代码输出如下: 二维矩阵的转置 Default Transepose is: [[1 4] [2 5] [3 6]] [0,1] Tranpose is: [[1 2 3] [4 5 6]] [1,0] Tranpose is: [[1 4] [2 5] [3 6]] 三维矩阵的转置 先测试不带perm参数的默认转置和参数顺序为不转置的正常坐标轴顺序[0,1,2]转置结果 [[[ 1 7] [ 4 10]] [[ 2 8] [ 5 11]] [[ 3 9] [ 6 12]]] 这里分析一下元素的坐标在转换前和转换后的变化: 1:(0,0,0)==>(...
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