x4=tf.stack(x3) returnx4 x=tf.random_normal([10,8,8,1024]) with tf.Session() as sess: m=sess.run(x) m1=sess.run(block_to_image1(m)) 在學(xué)習(xí)過(guò)程中對(duì)tensor不能直接賦值,比如不能寫(xiě): 1 2 3 x2=tf.reshape(m2, [256,256,1]) ...
www.dbjr.com.cn/article/1796...htm 2025-5-31