#placeholder是一个容器,需要以字典的形式赋值;
import tensorflow as tf
#placeholder是一个容器,需要赋值(以字典的形式)
input1 = tf.placeholder(tf.float32)
input2 = tf.placeholder(tf.float32)
output = tf.multiply(input1,input2)
with tf.Session() as sess:
print(sess.run(output,feed_dict={input1:[7.],input2:[2.]}))
import tensorflow as tf
state = tf.Variable(0, name = 'counter')
one = tf.constant(1)
new_value = tf.add(state, one) #相加 1
update = tf.assign(state, new_value)#把new_value的值赋给state 2
init = tf.initialize_all_variables() #must have if define variable
with tf.Session() as sess:
sess.run(init)
for _ in range(3):
sess.run(update) #执行1,2两步
print(sess.run(state))