Say I have one matrix and one vector as follows:
import torch
x = torch.tensor([[1, 2, 3],
[4, 5, 6],
[7, 8, 9]])
y = torch.tensor([0, 2, 1])
is there a way to slice it x[y]
so the result is:
res = [1, 6, 8]
So basically I take the first element of y
and take the element in x
that corresponds to the first row and the elements' column.
You can specify the corresponding row index as:
import torch
x = torch.tensor([[1, 2, 3],
[4, 5, 6],
[7, 8, 9]])
y = torch.tensor([0, 2, 1])
x[range(x.shape[0]), y]
tensor([1, 6, 8])
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