tf.concat(concat_dim,values,name='concat')

import tensorflow as tf

weights=tf.Variable(tf.truncated_normal([2,3,4],dtype=tf.float32,stddev=1e-1),name='weights')

weight1=weights[0:2,0:3,1:2]
weight2=weights[0:2,0:3,2:3]
weight3=weights[0:2,0:3,1:2]
weight4=tf.concat([weight1,weight2,weight3],2) #2表示最后一个维度

with tf.Session() as sess:
 sess.run(tf.global_variables_initializer())
 print(sess.run(weights))
 print("****************")
 print(sess.run(weight4))