fetch,feed

fetch :

a1=tf.constant(2)
a2=tf.constant(3)
a3=tf.constant(4)

r1=tf.add(a1,a2)
r2=tf.multiply(r1,a1)

with tf.Session() as sess:
  r=sess.run([r2,r1])   # 可以两个操作都运算
  print(r)

feed:

a1=tf.placeholder(tf.float32)    # 占位符
a2=tf.placeholder(tf.float32)
r=tf.multiply(a1,a2)

with tf.Session() as sess:
  a=sess.run(r,feed_dict={a1:22,a2:3})   # 在这里赋上数值
  print(a)

猜你喜欢

转载自www.cnblogs.com/pjishu/p/10205815.html