tf.add(x,y,name=None)

x:a tensor musut be one of                           the following types: half, float32, float64, uint8, int8, int16, int32, int64, complex64, complex128, string.  

y: A Tensor. Must have the same type as x.

name: A name for the operation (optional).

import tensorflow as tf


a=tf.constant([[1,1],[2,2],[3,3]],dtype=tf.float32)

b=tf.constant([1,-1],dtype=tf.float32)

c=tf.constant([1],dtype=tf.float32)


with tf.Session() as sess:

print('bias_add:')

print(sess.run(tf.nn.bias_add(a, b)))

#執行下面語句錯誤

#print(sess.run(tf.nn.bias_add(a, c)))


print('add:')

print(sess.run(tf.add(a, c)))
 

輸出結果：

bias_add: [[ 2. 0.] [ 3. 1.] [ 4. 2.]] add: [[ 2. 2.] [ 3. 3.]

[ 4. 4.]]

tf.add_n(inputs,name=None)

函式是實現一個列表的元素的相加。就是輸入的物件是一個列表，列表裡的元素可以是向量，矩陣等但沒有廣播功能

例子：

import tensorflow as tf;

import numpy as np;


input1 = tf.constant([1.0, 2.0, 3.0])

input2 = tf.Variable(tf.random_uniform([3]))

output = tf.add_n([input1, input2])


with tf.Session() as sess:

sess.run(tf.initialize_all_variables())

print (sess.run(input1 + input2))

print (sess.run(output))
 

輸出：

[ 1.30945706  2.29760814  3.81558323]
[ 1.30945706  2.29760814  3.81558323]