在tensorflow中我们在执行sess之前需要设置占位符,在sess.run中用feed_dict 将其传入
tensorflow中的占位符用 tf.placeholder并且有三个参数
(1)数据类型:
(2)数据大小:
(3)占位符名称:
例如:
import tensorflow as tf
import numpy as np
x = tf.placeholder(tf.float32, [2, 50], name = 'originalx')
y = tf.placeholder(tf.float32, [2,50], name = 'originaly')
c = x+y
with tf.Session() as sess:
a = np.random.randint(0,80,100).reshape((2,50))
aa = np.random.random(100).reshape((2,50))
result = sess.run(c, feed_dict = {x:a, y:aa})
print(result)