torch資料次元

3,1 表示最外層括号中有3條資料，2個逗号

torch的資料次元表示，從外向裡表示，[3,1]，表示外面有3行1列

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

    data = torch.randn(3,1,6)
    data2 = torch.randn(3, 1)
    print(data2.size())
    print(data2)

    data2 = torch.randn(1, 3)
    print(data2.size())
    print(data2)
           

torch.Size([3, 1])

tensor([[ 1.5015],

        [-1.8209],

        [ 0.9194]])

torch.Size([1, 3])

tensor([[ 1.4510, -1.3262, -0.5420]])

target的第2維和data的第3維數量要保持一緻：否則報錯：

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

    data = torch.randn(3,3,2)

    target = torch.tensor([[1,1],[0,1],[0,1]])
    print(data.size(),target.size())

    n = data.size(0)
    c = data.size(1)
    out_size =