from tensorflow.python.ops import math_ops

      name, 'false_negatives', [predictions, labels]):

    predictions.get_shape().assert_is_compatible_with(labels.get_shape())
    is_false_negative = math_ops.logical_and(math_ops.equal(labels, 1),
                                             math_ops.equal(predictions, 0))
    return _count_condition(is_false_negative, weights, metrics_collections,
                            updates_collections)

