*Memos:
- My post explains index_select().
- My post explains masked_select().
select() can get the 0D or more D view tensor of the zero or more elements selected with an index, removing one dimension from the 0D or more D tensor of zero or more elements as shown below:
*Memos:regularization
-
select()can be used with torch or a tensor. - The 1st argument(
input) withtorchor using a tensor(Required-Type:tensorofint,float,complexorbool). - The 2nd argument with
torchor the 1st argument with a tensor isdim(Required-Type:int). - The 3rd argument with
torchor the 2nd argument with a tensor isindex(Required-Type:int).
import torch
my_tensor = torch.tensor([8, -3, 0, 1, 5, -2, -1, 4])
torch.select(input=my_tensor, dim=0, index=1)
my_tensor.select(dim=0, index=1)
torch.select(input=my_tensor, dim=0, index=-7)
torch.select(input=my_tensor, dim=-1, index=1)
torch.select(input=my_tensor, dim=-1, index=-7)
# tensor(-3)
torch.select(input=my_tensor, dim=0, index=4)
torch.select(input=my_tensor, dim=0, index=-4)
torch.select(input=my_tensor, dim=-1, index=4)
torch.select(input=my_tensor, dim=-1, index=-4)
# tensor(5)
my_tensor = torch.tensor([[8, -3, 0, 1],
[5, -2, -1, 4]])
torch.select(input=my_tensor, dim=0, index=1)
torch.select(input=my_tensor, dim=0, index=-1)
torch.select(input=my_tensor, dim=-2, index=1)
torch.select(input=my_tensor, dim=-2, index=-1)
# tensor([5, -2, -1, 4])
torch.select(input=my_tensor, dim=1, index=3)
torch.select(input=my_tensor, dim=1, index=-1)
torch.select(input=my_tensor, dim=-1, index=3)
torch.select(input=my_tensor, dim=-1, index=-1)
# tensor([1, 4])
my_tensor = torch.tensor([[[8, -3], [0, 1]],
[[5, -2], [-1, 4]]])
torch.select(input=my_tensor, dim=2, index=1)
torch.select(input=my_tensor, dim=2, index=-1)
torch.select(input=my_tensor, dim=-1, index=1)
torch.select(input=my_tensor, dim=-1, index=-1)
# tensor([[-3, 1],
# [-2, 4]])
my_tensor = torch.tensor([[[8., -3.], [0., 1.]],
[[5., -2.], [-1., 4.]]])
torch.select(input=my_tensor, dim=2, index=1)
# tensor([[-3., 1.],
# [-2., 4.]])
my_tensor = torch.tensor([[[8.+0.j, -3.+0.j], [0.+0.j, 1.+0.j]],
[[5.+0.j, -2.+0.j], [-1.+0.j, 4.+0.j]]])
torch.select(input=my_tensor, dim=2, index=1)
# tensor([[-3.+0.j, 1.+0.j],
# [-2.+0.j, 4.+0.j]])
my_tensor = torch.tensor([[[True, False], [True, False]],
[[False, True], [False, True]]])
torch.select(input=my_tensor, dim=2, index=1)
# tensor([[False, False],
# [True, True]])
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