torch：torch.sort

import torch
import torchvision
import torch.nn as nn
import torch.nn.functional as F

x = torch.randn(3, 4)
print(x)
print()
sorted, indices = torch.sort(x)
print(sorted)
print(indices)

sorted, indices = torch.sort(x, 0)
print(sorted)
print(indices)

D:ProgramDataMiniconda3python.exe E:/新脚本主文件夹/训练测试项目/test_torch/sort.py
tensor([[ 1.0198,  0.6535, -0.5993, -1.2033],
        [-1.2741, -0.1615, -1.4329, -2.1151],
        [-1.8084, -0.3558,  0.6515, -0.2942]])

tensor([[-1.2033, -0.5993,  0.6535,  1.0198],
        [-2.1151, -1.4329, -1.2741, -0.1615],
        [-1.8084, -0.3558, -0.2942,  0.6515]])
tensor([[3, 2, 1, 0],
        [3, 2, 0, 1],
        [0, 1, 3, 2]])
tensor([[-1.8084, -0.3558, -1.4329, -2.1151],
        [-1.2741, -0.1615, -0.5993, -1.2033],
        [ 1.0198,  0.6535,  0.6515, -0.2942]])
tensor([[2, 2, 1, 1],
        [1, 1, 0, 0],
        [0, 0, 2, 2]])

Process finished with exit code 0