本文來自 guotong1988 的CSDN 博客 ，全文地址請點擊：https://blog.csdn.net/guotong1988/article/details/77622790
1 import tensorflow as tf 2 c = tf.constant([[1,2,3,4], [-1,-2,-3,-4], [5,6,7,8]]) 3 result = tf.segment_sum(c, tf.constant([0, 0, 1]))#第二個參數長度必須為3 4 result_ = tf.segment_sum(c, tf.constant([0, 1, 1])) 5 result__ = tf.segment_sum(c, tf.constant([0, 1, 2])) 6 result2 = tf.unsorted_segment_sum(c, tf.constant([2, 1, 1]),3)#第二個參數長度必須為3 7 result3 = tf.unsorted_segment_sum(c, tf.constant([1, 0, 1]),2) 8 #result4 = tf.unsorted_segment_sum(c, tf.constant([2, 0, 1]),2) #錯誤，segment_ids[0] = 2 is out of range [0, 2) 9 result4 = tf.unsorted_segment_sum(c, tf.constant([2, 0, 1]),3) 10 result5 = tf.unsorted_segment_sum(c, tf.constant([3, 1, 0]),5) 11 sess = tf.Session() 12 print("result") 13 print(sess.run(result)) 14 print("result_") 15 print(sess.run(result_)) 16 print("result__") 17 print(sess.run(result__)) 18 print("result2") 19 print(sess.run(result2)) 20 print("result3") 21 print(sess.run(result3)) 22 print("result4") 23 print(sess.run(result4)) 24 print("result5") 25 print(sess.run(result5))
運行結果：
result [[0 0 0 0] [5 6 7 8]] result_ [[1 2 3 4] [4 4 4 4]] result__ [[ 1 2 3 4] [-1 -2 -3 -4] [ 5 6 7 8]] result2 [[0 0 0 0] [4 4 4 4] [1 2 3 4]] result3 [[-1 -2 -3 -4] [ 6 8 10 12]] result4 [[-1 -2 -3 -4] [ 5 6 7 8] [ 1 2 3 4]] result5 [[ 5 6 7 8] [-1 -2 -3 -4] [ 0 0 0 0] [ 1 2 3 4] [ 0 0 0 0]]
將索引值相同的進行求和，其余的按順序計算。