import tensorflow as tf

    '''
    pass
def loss(logits, labels):
    '''
    Compute loss
    '''
    with tf.name_scope('loss') as scope:
        cross_entropy = tf.nn.softmax_cross_entropy_with_logits(logits=logits, labels=labels, name='cross-entropy')
        loss = tf.reduce_mean(cross_entropy, name='loss')
        tf.summary.scalar(scope+'/loss', loss)

    return loss
