tf随笔-1

生成新的计算图，并完成常量初始化，在新的计算 图中完成加法计算

import tensorflow as tf

g1=tf.Graph()

with g1.as_default():

value=[1.,2.,3.,4.,5.,6.]

init = tf.constant_initializer(value)

x=tf.get_variable("x",initializer=init,shape=[2,3])

y=tf.get_variable("y",shape=[2,3],initializer=tf.ones_initializer())

result=tf.add(x,y,name="myadd")

with tf.Session(graph=g1) as sess:

tf.global_variables_initializer().run()

with tf.variable_scope("",reuse=True):

print(sess.run(tf.get_variable("x")))

print(sess.run(tf.get_variable("y")))

print(sess.run(result))

输出结果

[[ 1.  2.  3.]
 [ 4.  5.  6.]]
[[ 1.  1.  1.]
 [ 1.  1.  1.]]
[[ 2.  3.  4.]
 [ 5.  6.  7.]]