最佳組合代碼模式為：

# Create the graph, etc. init_op = tf.global_variables_initializer()# Create a session for running operations in the Graph. sess = tf.Session()# Initialize the variables (like the epoch counter). sess.run(init_op)# Start input enqueue threads. coord = tf.train.Coordinator() threads = tf.train.start_queue_runners(sess=sess, coord=coord)try:while not coord.should_stop():# Run training steps or whateversess.run(train_op)except tf.errors.OutOfRangeError:print('Done training -- epoch limit reached') finally:# When done, ask the threads to stop.coord.request_stop()# Wait for threads to finish. coord.join(threads) sess.close()#!/usr/bin/env python2 # -*- coding: utf-8 -*- """讀取文件 """ import tensorflow as tf import osg=tf.Graph() with g.as_default():#生成文件名隊列fileName=os.getcwd()+"/1.csv"print fileNamefileNameQueue=tf.train.string_input_producer([fileName])#生成記錄鍵值對reader=tf.TextLineReader(skip_header_lines=1)key,value=reader.read(fileNameQueue)recordDefaults=[[""],[1],[1]]decoded=tf.decode_csv(value,record_defaults=recordDefaults)name,age,source=tf.train.shuffle_batch(decoded,batch_size=2,capacity=2,min_after_dequeue=1) features=tf.transpose(tf.stack([age,source]))with tf.Session(graph=g) as sess:# 開始產生文件名隊列coord = tf.train.Coordinator()threads = tf.train.start_queue_runners(coord=coord)print sess.run(features)coord.request_stop()coord.join(threads)

[[32 99]
[36 75]]

#!/usr/bin/env python2 # -*- coding: utf-8 -*- """ Created on Sat Sep 15 10:54:53 2018讀取文件 """ import tensorflow as tf import osg=tf.Graph() with g.as_default():#生成文件名隊列fileName=os.getcwd()+"/1.csv"fileNameQueue=tf.train.string_input_producer([fileName])#生成記錄鍵值對reader=tf.TextLineReader(skip_header_lines=1)key,value=reader.read(fileNameQueue)recordDefaults=[[""],[1],[1]]decoded=tf.decode_csv(value,record_defaults=recordDefaults)name,age,source=tf.train.shuffle_batch(decoded,batch_size=2,capacity=2,min_after_dequeue=1) features=tf.stack([age,source])#此處不轉置with tf.Session(graph=g) as sess:# 開始產生文件名隊列coord = tf.train.Coordinator()threads = tf.train.start_queue_runners(coord=coord)print sess.run(features)print sess.run(key)#文件名print sess.run(value)#讀取一行的內容coord.request_stop()coord.join(threads)

[[32 36]
[99 75]]
/Users/xxxxx/Documents/AIstudy/tf/1.csv:3
lisi,36,75
$ cat 1.csv

name,age,source

zhanghua,32,99

liuzhi,29,69

lisi,36,75

總結

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