code: def fashion_mnist_generator(
      tmp_dir, training, how_many, start_from=0
  ):
      """Image generator for FashionMNIST.
  
      Args:
        tmp_dir: path to temporary storage directory.
        training: a Boolean; if true, we use the train set, otherwise the test set.
        how_many: how many images and labels to generate.
        start_from: from which image to start.
  
      Returns:
        An instance of image_generator that produces MNIST images.
      """
      _get_fashion_mnist(tmp_dir)
      d = _FASHION_MNIST_LOCAL_FILE_PREFIX + (
          _MNIST_TRAIN_DATA_FILENAME
          if training
          else _MNIST_TEST_DATA_FILENAME
      )
      l = _FASHION_MNIST_LOCAL_FILE_PREFIX + (
          _MNIST_TRAIN_LABELS_FILENAME
          if training
          else _MNIST_TEST_LABELS_FILENAME
      )
      return mnist_common_generator(
          tmp_dir, training, how_many, d, l, start_from
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import gzip
  import os
  import random
  import numpy
  from tensor2tensor.data_generators import generator_utils
  from tensor2tensor.data_generators import image_utils
  from tensor2tensor.utils import registry
  import tensorflow.compat.v1
label_desc: Use image node_id 7 for calling a global function with example usage: fashion_mnist_generator(tmp_dir, training, how_many, start_from) and returns: mnist_common_generator