import tensorflow as tf


test_image_batch,test_label_batch=get_test_batch(test_image,test_label,testnum)
test_inf=work.test_inference(test_image_batch)
test_labels=tf.one_hot(test_label_batch,classnum)
test_pre = tf.reshape(test_inf, [testnum, classnum])
correct_prediction=tf.equal(tf.argmax(test_inf,1),tf.argmax(test_labels,1))
