代码如下 atorch.randn((4,6)) print(a) tensor([[ 0.7042, 0.2533, 1.1596, -0.7436, 0.5264, 0.2085], [ 0.2641, 0.9683, 0.4469, -1.9215, -0.7564, 1.1776], [ 1.0520, -1.6003, -0.8634, 1.7596, -0.8464, 0.7166], [-0.0492, -0.7746, 1.2592, -0.8273, 0.1266, 1.0450]]) maxkmax((1,3)) _, preda.topk(maxk,1,True,True) print(_) tensor([[1.1596, 0.7042, 0.5264], [1.1776, 0.9683, 0.4469], [1.7596, 1.0520, 0.7166], [1.2592, 1.0450, 0.1266]]) print(pred) tensor([[2, 0, 4], [5, 1, 2], [3, 0, 5], [2, 5, 4]]) _, preda.topk(1,1,True,True) print(_) tensor([[1.1596], [1.1776], [1.7596], [1.2592]]) print(pred) tensor([[2], [5], [3], [2]])如上我们可以看到topk()函数取指定维度上的最大值(或最大几个)第二个参数dim1为按行取dim0为按列取如下 _, preda.topk(1,0,True,True) print(_) tensor([[1.0520, 0.9683, 1.2592, 1.7596, 0.5264, 1.1776]]) print(pred) tensor([[2, 1, 3, 2, 0, 1]])