import torch
#1
x = torch.randn(2, 1, 1)#為1可以擴展為3和4
x = x.expand(2, 3, 4)
print('x :', x.size())
>>> x : torch.Size([2, 3, 4])
#2
#擴展一個新的維度必須在最前面，否則會報錯
x = x.expand(2, 3, 4, 6)
>>> RuntimeError: The expanded size of the tensor (3) must match the existing size (2) at non-singleton dimension 1.
x = x.expand(6, 2, 3, 4)
>>> x : torch.Size([6, 2, 3, 4])
#3
#某一個維度為-1表示不改變該維度的大小
x = x.expand(6, -1, -1, -1)
>>> x : torch.Size([6, 2, 1, 1])

import torch
#1
x = torch.randn(2, 1, 1)#原維度為1可以擴展為其他維度
y = torch.randn(2, 3, 3)
x = x.expand_as(y)
print('x :', x.size())
>>> x : torch.Size([2, 3, 3])
#2
x = torch.randn(2, 2, 2)#原維度為其他不是1的值不可以擴展為其他維度
y = torch.randn(2, 3, 4)
x = x.expand_as(y)
print('x :', x.size())
>>> RuntimeError: The expanded size of the tensor (4) must match the existing size (2) at non-singleton dimension 2.  Target sizes: [2, 3, 4].