import tensorflow as tf

      new_saver.restore(sess, saver0_ckpt)
      # Addes loss and train.
      labels = tf.constant(0, tf.int32, shape=[100], name="labels")
      batch_size = tf.size(labels)
      labels = tf.expand_dims(labels, 1)
      indices = tf.expand_dims(tf.range(0, batch_size), 1)
      concated = tf.concat(1, [indices, labels])
      onehot_labels = tf.sparse_to_dense(
