It might sound confusing, but I have a tensor T of size [N, C, A, B], and I would like to index in the third dimension. If along each row of dimension 3 we have a different index as recorded in a vector v, we can usually do: T[:, :, v, :]. However, what I want to do is use the vector v as the starting point and take part of the tensor, something like T[:, :, v:v+n, :]. It seems that this type of operation is not supported by PyTorch indexing. So the question is: besides using a for loop, what are other ways to implement this function? Thanks in advance.

The error I get when trying this is:

```
TypeError: only integer tensors of a single element can be converted to an index
```