代码来源于官方文档，做了一些小小的调整：
# -*- coding:utf-8 -*-
import tensorflow as tf filename_queue = tf.train.string_input_producer(["file01.csv", "file02.csv"])
reader = tf.TextLineReader()
key, value = reader.read(filename_queue) # Default values, in case of empty columns. Also specifies the type of the
# decoded result.
record_defaults = [[1], [1], [1]]
col1, col2, col3 = tf.decode_csv(value, record_defaults = record_defaults)
features = tf.stack([col1, col2]) init_op = tf.global_variables_initializer()
local_init_op = tf.local_variables_initializer() # local variables like epoch_num, batch_size 可以不初始化local
with tf.Session() as sess:
sess.run(init_op)
sess.run(local_init_op) # Start populating the filename queue.
coord = tf.train.Coordinator()
threads = tf.train.start_queue_runners(coord=coord) for i in range(5):
# Retrieve a single instance:
example, label = sess.run([features, col3])
print(example)
print(label) coord.request_stop()
coord.join(threads)
file01.csv 和 file02.csv 格式一样：
19,3,1
10,2,3
11,3,1
12,4,2
17,5,1
18,6,2
......