gistfile1.txt

def auc_roc(y_true, y_pred):
# can be any tensorflow metric
value, update_op = tf.contrib.metrics.streaming_auc(y_pred, y_true)
    # find all variables created for this metric
    metric_vars = [i for i in tf.local_variables() if 'auc_roc' in i.name.split('/')[1]]
    
    # Add metric variables to GLOBAL_VARIABLES collection.
    # They will be initialized for new session.
    for v in metric_vars:
    tf.add_to_collection(tf.GraphKeys.GLOBAL_VARIABLES, v)
    
    # force to update metric values
    with tf.control_dependencies([update_op]):
    value = tf.identity(value)
    return value