def mnist_generator(tmp_dir, training, how_many, start_from=0):
  """Image generator for MNIST.

  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_mnist(tmp_dir)
  d = _MNIST_TRAIN_DATA_FILENAME if training else _MNIST_TEST_DATA_FILENAME
  l = _MNIST_TRAIN_LABELS_FILENAME if training else _MNIST_TEST_LABELS_FILENAME
  return mnist_common_generator(tmp_dir, training, how_many, d, l, start_from)
def mnist_generator ( tmp_dir , training , how_many , start_from = 0 ) : _get_mnist ( tmp_dir ) d = _MNIST_TRAIN_DATA_FILENAME if training else _MNIST_TEST_DATA_FILENAME l = _MNIST_TRAIN_LABELS_FILENAME if training else _MNIST_TEST_LABELS_FILENAME return mnist_common_generator ( tmp_dir , training , how_many , d , l , start_from )
Image generator for MNIST.

  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.