import tensorflow as tf

        images,
        model_options=model_options,
        is_training=False,
        fine_tune_batch_norm=False)

  if add_flipped_images:
    with tf.variable_scope(tf.get_variable_scope(), reuse=True):
      outputs_to_scales_to_logits_reversed = multi_scale_logits(
          tf.reverse_v2(images, [2]),
          model_options=model_options,
          is_training=False,
          fine_tune_batch_norm=False)
