input1 = tf.placeholder(tf.float32)

input2 = tf.placeholder(tf.float32)

output = tf.multiply(input1, input2)

with tf.Session() as sess:

    feed_dict={input1: [[7.,2.]], input2: [[2.],[3.]]}

    print(sess.run(output,feed_dict ))

import os

import tensorflow as tf 

filename = ['A.jpg', 'B.jpg', 'C.jpg']

# string_input_producer会产生一个文件名队列

filename_queue = tf.train.string_input_producer(filename, shuffle=False, num_epochs=5)

# reader从文件名队列中读数据。对应的方法是reader.read

reader = tf.WholeFileReader()

key, value = reader.read(filename_queue)

init=tf.local_variables_initializer()

# tf.train.string_input_producer定义了一个epoch变量，要对它进行初始化

with tf.Session() as sess:

    sess.run(init)

    # 使用start_queue_runners之后，才会开始填充队列

    tf.train.start_queue_runners(sess=sess)

    i = 0

    while True:

        i += 1

        # 获取图片数据并保存

        image_data = sess.run(value)

        with open('read/test_%d.jpg' % i, 'wb') as f:

            f.write(image_data)

# 程序最后会抛出一个OutOfRangeError，这是epoch跑完，队列关闭的标志