class_docstr: A simple class for handling the ImageNet data set.
class_docstr_tok: ["A","simple","class","for","handling","the","ImageNet","data","set","."]
docstr: Return a reader for a single entry from the data set.
  
  See io_ops.py for details of Reader class.
  
  Returns:
    Reader object that reads the data set.
docstr_tok: ["Return","a","reader","for","a","single","entry","from","the","data","set",".","See","io_ops.py","for","details","of","Reader","class",".","Returns",":","Reader","object","that","reads","the","data","set","."]
code: def reader(self):
      """Return a reader for a single entry from the data set.
  
      See io_ops.py for details of Reader class.
  
      Returns:
        Reader object that reads the data set.
      """
      return tf.TFRecordReader()
  
file_path: magenta/magenta/models/image_stylization/imagenet_data.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  import sys
  import tensorflow.compat.v1
label_desc: Use image node_id 7 for calling the ImagenetData obj's underlying member method code with example usage: obj.reader() and returns: tf