def METHOD_NAME(features):
  """Convert a dict of lt.FixedLenFeature into a dict of tf.FixedLenFeature."""
  unlabeled_features = {}
  for name, labeled_feature in features.items():
    shape = [ax.size for ax in labeled_feature.axes]
    if any(size is None for size in shape):
      # This should be caught on the TensorFlow side, but it isn't yet:
      # https://github.com/tensorflow/tensorflow/issues/2874
      raise ValueError('axes with unknown size are not supported')
    dtype = labeled_feature.dtype
    default_value = labeled_feature.default_value
    unlabeled_features[name] = parsing_ops.FixedLenFeature(
        shape, dtype, default_value)
  return unlabeled_features