tf.tile()用法

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tile() 平铺之意，用于在同一维度上的复制

tf.tile(  
    input,     #输入  
    multiples,  #同一维度上复制的次数  
    name=None  
)
#  a = tf.constant([1,2],name='a') 
#  b= tf.tile(a,[1,2])
#  sess = tf.Session()  
#  print(sess.run(b))
# [[1,2]
   [1,2]]

error:ValueError: Shape must be rank 1 but is rank 2 for ‘Tile’ (op: ‘Tile’) with input shapes: [2], [2].

import tensorflow as tf
a = tf.constant([[1,2]],name='a')
b= tf.tile(a,[1,2])
sess = tf.Session()
print(sess.run(b))

output: 
[[1 2 1 2]]

import tensorflow as tf
a = tf.constant([[1,2]],name='a')
b= tf.tile(a,[2,1])
sess = tf.Session()
print(sess.run(b))

output: 
[[1 2] 
[1 2]]

参考博客： 
http://blog.csdn.net/xwd18280820053/article/details/72867818

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