tf.transpose 直观感受

tensorflow cifar10的cifar10_input.py中read_cifar10（）最后有一个转置语句

result.uint8image = tf.transpose(depth_major, [1, 2, 0])

import as 

import numpy as np

1231231231231231231231231231'depth'2'height'3'width'dtypeshape333perm120with as feed_dictprintprintfor in rangelen0for in rangelen1for in rangelen2for in rangelen0for in rangelen1for in rangelen2printprint'before_trans:\n'print

print('after_trans:\n',np.array(after_trans))

# 结果

before_trans: [[['depth' 'height' 'width'] ['depth' 'height' 'width'] ['depth' 'height' 'width']] [['depth' 'height' 'width'] ['depth' 'height' 'width'] ['depth' 'height' 'width']] [['depth' 'height' 'width'] ['depth' 'height' 'width'] ['depth' 'height' 'width']]] after_trans: [[['depth' 'depth' 'depth'] ['height' 'height' 'height'] ['width' 'width' 'width']] [['depth' 'depth' 'depth'] ['height' 'height' 'height'] ['width' 'width' 'width']] [['depth' 'depth' 'depth'] ['height' 'height' 'height'] ['width' 'width' 'width']]]