import tensorflow as tf

    predict = tf.placeholder(tf.float32,shape=[hps.batch_size, 10])
    logit_nor,tsne_logit_nor = model_carlini_adv.predict(image,tsne_logits=True)
    logit_adv,tsne_logit_adv = model_carlini_adv.predict(adv_image,tsne_logits=True)
    predict_nor = tf.nn.softmax(logit_nor)
    predict_adv = tf.nn.softmax(logit_adv)

