tf.metrics.auc(
    labels,
    predictions,
    weights=None,
    num_thresholds=200,
    metrics_collections=None,
    updates_collections=None,
    curve='ROC',
    name=None,
    summation_method='trapezoidal'
)

(<tf.Tensor 'auc_4/value:0' shape=() dtype=float32>,
 <tf.Tensor 'auc_4/update_op:0' shape=() dtype=float32>)