Hi, I have a question of getting certain indexed element from a tensor.

For example, I have a tensor

```
a = torch.arange(24).to(torch.float).reshape(2, 3, 4)
a.requires_grad = True
print(a)
# output
tensor([[[ 0., 1., 2., 3.],
[ 4., 5., 6., 7.],
[ 8., 9., 10., 11.]],
[[12., 13., 14., 15.],
[16., 17., 18., 19.],
[20., 21., 22., 23.]]], requires_grad=True)
```

I also have a list of indexes, and I want to extract the element from tensor `a`

with the indexes. Therefore, I tried the following way:

```
index = [(0, 0, 0), (0, 1, 1)]
b = torch.Tensor([a[i[0], i[1], i[2]] for i in index_list])
# output
tensor([0., 5.])
```

However, when I check `b.requires_grad`

, it becomes `False`

.

I want to know how to achieve the same goal without loss of â€śrequires_gradâ€ť property.

Thanks ahead!