text: import tensorflow as tf
  
  input_files = tf.placeholder(tf.string)
  data_set = tf.data.TextLineDataset(input_files)
  iterator = data_set.make_initializable_iterator()
  x = iterator.get_next()
  
  with tf.Session() as sess:
      sess.run(iterator.initializer, feed_dict={
          input_files: ["E:\\ML_learning\\Daguan\\data\\train_data_word_seg_fastTest.tsv",
                        "E:\\ML_learning\\Daguan\\data\\test_data_all_word_seg_fastTest.tsv"]})
      while True:
          try:
              print(len(sess.run(x)))
          except tf.errors.OutOfRangeError:
              break
  